Academic literature on the topic 'Learner-content interaction'
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Journal articles on the topic "Learner-content interaction"
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Špilka, Radim. "Learner-Content Interaction in Flipped Classroom Model." International Journal of Information and Communication Technologies in Education 4, no. 3 (October 1, 2015): 53–61. http://dx.doi.org/10.1515/ijicte-2015-0014.
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Abstract The article deals with the interaction of elementary school students with online educational videos. Half-yearly survey was conducted in mathematics lessons pupils in the eighth grade. During the experimental teaching was flipped classroom teaching model, where students watch educational instructional video before school lessons. During class when the teacher uses activization teaching methods that build on the content of the educational video. It turned out that there is a correlation between the average length of time that students watched videos and length instructional videos. Students watched a video about three times the length of their time. Additionally was monitored a number of playback of educational videos. Here it shows a slightly declining and fluctuating trend. For some video, especially towards the end of the experiment, the number playback are low due to preservation the measured correlation. This suggests that some students stopped to watch educational videos at the end of the experiment or accelerated video playback.
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Çardak, Çigdem Suzan. "A Multi-Perspective Investigation into Learners’ Interaction in Asynchronous Computer-Mediated Communication (CMC)." Higher Education Studies 6, no. 2 (April 6, 2016): 61. http://dx.doi.org/10.5539/hes.v6n2p61.
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<p>This article focusses on graduate level students’ interactions during asynchronous CMC activities of an online course about the teaching profession in Turkey. The instructor of the course designed and facilitated a semester-long asynchronous CMC on forum discussions, and investigated the interaction of learners in multiple perspectives: learners’ views, participation in terms of quantity, participation in terms of discussed issues and collaborative construction of new knowledge. 14 graduate students were participated in the study and 12 of them were interviewed. Meanwhile, 345 messages sent by the learners and the instructor were analyzed in order to identify discussed issues and social construction of knowledge. The results of the study showed that according to the message numbers and views of the learners, learner-instructor interaction was ahead of learner-learner interaction. Meanwhile, learner-content interaction was sustained by various discussion topics. Though learners’ views related to learner-learner, learner-instructor and learner-content interactions were positive in general, analyzing the contents of the messages didn’t reveal higher levels of co-construction of knowledge according to the Interaction Analysis Model.</p>
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Kuo, Yu-Chun, Andrew E. Walker, Brian R. Belland, and Kerstin E. E. Schroder. "A predictive study of student satisfaction in online education programs." International Review of Research in Open and Distributed Learning 14, no. 1 (January 10, 2013): 16. http://dx.doi.org/10.19173/irrodl.v14i1.1338.
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<p>This paper is intended to investigate the degree to which interaction and other predictors contribute to student satisfaction in online learning settings. This was a preliminary study towards a dissertation work which involved the establishment of interaction and satisfaction scales through a content validity survey. Regression analysis was performed to determine the contribution of predictor variables to student satisfaction. The effects of student background variables on predictors were explored. The results showed that learner-instructor interaction, learner-content interaction, and Internet self-efficacy were good predictors of student satisfaction while interactions among students and self-regulated learning did not contribute to student satisfaction. Learner-content interaction explained the largest unique variance in student satisfaction. Additionally, gender, class level, and time spent online per week seemed to have influence on learner-learner interaction, Internet self-efficacy, and self-regulation.</p>
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Martin, Florence, Michele A. Parker, and Deborah F. Deale. "Examining interactivity in synchronous virtual classrooms." International Review of Research in Open and Distributed Learning 13, no. 3 (June 1, 2012): 228. http://dx.doi.org/10.19173/irrodl.v13i3.1174.
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<p>Interaction is crucial to student satisfaction in online courses. Adding synchronous components (virtual classroom technologies) to online courses can facilitate interaction. In this study, interaction within a synchronous virtual classroom was investigated by surveying 21 graduate students in an instructional technology program in the southeastern United States. The students were asked about learner-learner, learner-instructor, learner-content, and learner-interface interactions. During an interview, the instructor was asked about strategies to promote these different forms of interaction. In addition, the academic, social, and technical aspects of interactions were examined in three course archives using Schullo’s (2005) schema. Participants reported that the Wimba interface was easy to use and that various features, such as text chat and the webcam, facilitated interaction among the students and with the instructor in the virtual classroom. The importance of students’ ability to receive immediate feedback and their experience as presenters was highlighted across the various kinds of interaction. The instructor’s teaching style and visual presence were instrumental in engaging students with the content. The results suggest that student interaction, and hence learning, was aided by the live communication that occurred through the virtual classroom. This study has implications for those who are considering adopting virtual classroom technologies for their online or blended teaching.</p>
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Zimmerman, Tekeisha Denise. "Exploring learner to content interaction as a success factor in online courses." International Review of Research in Open and Distributed Learning 13, no. 4 (September 12, 2012): 152. http://dx.doi.org/10.19173/irrodl.v13i4.1302.
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<p>Interaction plays a critical role in the learning process. For online course participants, interaction with the course content (learner-content interaction) is especially important because it can contribute to successful learning outcomes and course completion. This study aims to examine the relationship between learner-content interaction and course grade to determine if this interaction type is a contributing success factor. Data related to student interaction with course content, including time spent reviewing online course materials, such as module PowerPoint presentations and course videos and time spent completing weekly quizzes, were collected for students in three sections of an online course (<em>N </em>= 139). The data were then correlated against grades achieved in the course to determine if there was any relationship. Findings indicate statistically significant relationships between the amount of time the learner spent with the content and weekly quiz grades (<em>r </em>= .-72). The study concludes that learners who spent more time interacting with course content achieve higher grades than those who spent less time with the content.<br /><br /></p>
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Xiao, Junhong. "Learner-content interaction in distance education: The weakest link in interaction research." Distance Education 38, no. 1 (January 2, 2017): 123–35. http://dx.doi.org/10.1080/01587919.2017.1298982.
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Goh, Chin Fei, Owee Kowang Tan, Amran Rasli, and Sang Long Choi. "Engagement in peer review, learner-content interaction and learning outcomes." International Journal of Information and Learning Technology 36, no. 5 (November 4, 2019): 423–33. http://dx.doi.org/10.1108/ijilt-04-2018-0038.
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Purpose The purpose of this paper is to propose a reciprocal peer review approach that resembled the scholarly peer review process using the Moodle e-learning system. The authors investigated interrelations among engagement in providing peer feedback, engagement in responding to peer feedback, learner-content interaction and learning outcomes. Design/methodology/approach An experimental intervention study was designed. A total of 45 students who enroled in an undergraduate research methods course completed the assigned project. Reciprocal peer review was adopted, in which the participants provided a peer review report on a randomly assigned peer’s research proposal. Subsequently, participants revised and submitted their proposal along with a response letter that highlighted the revisions. Findings This study highlights that the engagement in providing peer feedback exerts an indirect effect on learning outcomes through learner-content interaction. Learner-content interaction fully mediates the causal relationship between engagement in providing peer feedback and learning outcomes. Practical implications Learner-content interaction fully mediates the causal relationship between engagement in providing peer feedback and learning outcomes. Thus, e-learning practitioners who engage in peer review should first construct high-quality course materials to enhance learning outcomes. Originality/value Learning outcomes can be enhanced if there is a high level of engagement in providing peer feedback among learners. However, learner-content interaction fully mediates the positive effect of engagement in providing peer feedback on learning outcomes. Furthermore, engagement in providing peer feedback will enhance the learner’s motivation to intensify his or her learning from the course material.
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Razali, Sharifah Nadiyah, Mohd Hafiez Ahmad, and Helmi Adly Mohd Noor. "Implications of Learning Interaction in Online Project Based Collaborative Learning." Journal of Computational and Theoretical Nanoscience 17, no. 2 (February 1, 2020): 681–88. http://dx.doi.org/10.1166/jctn.2020.8831.
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Interaction is the success factors that support online learning pedagogy that can enhanced the learning and teaching process, increased students’ satisfaction and learning outcomes. This paper reviewed empirical studies on interaction in online learning. In order to achieve the aim, the study was conducted qualitatively in the form of document review study. Conclusively, there were three common types of interaction that have been cited frequently in the literature: Learner–learner, learner–instructor and learner–content. However, this study embedded the collaboration theory where learners take full responsibility to their learning with instructor guide. Therefore, the interaction between learner–learner and learner–instructor should be emphasized.
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Aboderin, Olukayode Solomon, and A. M. Laleye. "The Relationship between Online Interaction and Academic Performance of Distance E-Learners in a Nigerian University." American International Journal of Education and Linguistics Research 2, no. 1 (May 17, 2019): 25–33. http://dx.doi.org/10.46545/aijelr.v2i1.72.
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Distance e-learners are expected to participate in an e-learning environment and interact with the content, colleagues and facilitators through distance education technologies. Learning environment goes a long way to determine student’s academic performance. Hence, this study tends to find out relationship between online interaction and distance e-learners. The purpose of the study was to analyze the correlation that exists between learner-content-interaction (LCI), learner-learner-interaction (LLI) and learner-instructor-interaction (LII) and academic performance of distance e-learners in a Nigerian university. Two research questions were designed to guide the study. A descriptive design of survey type was adopted for the study and a questionnaire was used to collect the quantitative data. The study was conducted in four selected study centres of National Open University of Nigeria (NOUN) and a total of 1,025 participants completed the survey-based questionnaire. The researchers used Spearman’s correlation to determine if correlation exists on each type of interaction. The findings of this study revealed that learner-learner-interaction was the only factor that was significant(r = .066, p-value = .034), with very small weak correlation out of the three types of interactions discussed in this study. Findings also revealed that all the three types of interactions were significant (LCI, r= .121** p=0.009; LII, r=.108*, p=0.018; LLI, r = .105*, p = 0.023) for female distance e-learners but none was significant for male distance e-learners.Based on the findings of the research, recommendations have been made which will assist Nigerian university policy makers and course developers with a view to improving the academic performance of distance e-learners.
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Hamdan, Khaldoun Mohammad, Ahmad M. Al-Bashaireh, Zainab Zahran, Amal Al-Daghestani, Samira AL-Habashneh, and Abeer M. Shaheen. "University students' interaction, Internet self-efficacy, self-regulation and satisfaction with online education during pandemic crises of COVID-19 (SARS-CoV-2)." International Journal of Educational Management 35, no. 3 (January 20, 2021): 713–25. http://dx.doi.org/10.1108/ijem-11-2020-0513.
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PurposeThis study aimed to investigate Jordanian university students' interaction, Internet self-efficacy, self-regulation and satisfaction regarding online education during the COVID-19 pandemic.Design/methodology/approachA correlational cross-sectional design was utilized using convenience sampling to include 702 undergraduate students from Jordanian universities using an online self-administered questionnaire. Descriptive statistics, T-tests, one-way ANOVA and multiple regression analyses were used to analyze the data.FindingsThe mean score of students' satisfaction was low (m = 45.14, SD = 25.62). Regarding student's interaction, learner-instructor interaction had the highest total mean score (m = 58.53, SD = 24.51), followed by learner-learner interaction (m = 47.50, SD = 22.64). Learner-content interaction had the lowest total mean score (m = 45.80, SD = 24.60). Significant differences in students' satisfaction were identified according to the level of education, university type and marital status. Significant predictors of students' satisfaction with online education were self-regulated learning, Internet self-efficacy, learner-content interaction, learner-learner interaction and the number of e-learning theoretical courses.Originality/valueOnline education is not well-established in developing countries. This study contributed to the limited knowledge of university students’ preparedness and satisfaction with online education during the early stage of COVID-19 pandemic.
Dissertations / Theses on the topic "Learner-content interaction"
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Boyce, Bradley G. "Understanding Learner Interactions in the Home-Study and Technology-Mediated Seminary Program for Youth in the Church of Jesus Christ of Latter-day Saints." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/3023.
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Interaction is a core element in the design of blended and distance learning environments. The importance of understanding these interactions and what might increase effectiveness of such interactions in education is paramount for meaningful learning. This dissertation consists of two qualitative case studies designed to provide a rich, descriptive look at interactions in a high school distance/blended-learning context in the home-study and technology-meditated seminary program of The Church of Jesus Christ of Latter-day Saints. In the study article, Moore's (1989) interaction framework was used as a lens for understanding the learner experience. Thematic narratives were used to highlight themes related to students' perceived learning gains from learner-content interaction and their hesitancy to engage in learner-learner and learner-instructor interactions if they had not met personally. In the second study, Garrison's (2007) Community of Inquiry framework was used to understand the impact that teacher decisions, other than the selection of content, had on the cognitive and social climate of the learning experience. This study describes how a teacher's facilitation of social interaction influences the course learning outcomes. The results highlight the teacher's role in providing the educational and social climate needed to foster learner interactions. This study noted that when the teachers gave learners the opportunity to interact in a live setting, it appeared to foster the relationships needed to interact online. The narratives also highlight how a teacher helped learners interact with one another around content online.
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Wilson, Jay. "An examination of the relationships of interaction, learner styles, and course content on student satisfaction and outcomes in online learning." University of Southern Queensland, Faculty of Education, 2007. http://eprints.usq.edu.au/archive/00004963/.
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[Abstract]: Online education offers many people the opportunity to begin or continue their education. The option to undertake studies has also expanded dramatically due toincreasing numbers of online programs. One of the strengths of online learning is the ability to provide a rich learning experience where students have the opportunity to interact using technology. Although a general profile of students who enrol in onlinecourses has been developed, very little of the research is comprehensive enough to create an understanding of the experience of individual online learners. Many studies have been conducted on the process of interaction and there is a need to learn more about how students use interaction and tools in online learning.A review of current research into online learning uncovered a need for a deeper understanding of how online students engage in interaction, their learning styles, and the types of content they use in their online courses. The research review raised a number of specific questions:• What types of online interactions are students having?• Are there particular learner types that are more successful in the online learning environment?• Is there specific course content that is used more often than others in online learning?• Are there obstacles to online interactions for students and if so what are they?• What factors influence student satisfaction in online learning?In particular do learning styles, course content and interaction influence learner satisfaction and outcomes in online learning? What impact do these variables have,separately and together, on online learners? This study looked at the educational experience of 124 online students using a 125 item online survey and follow-upinterview.The outcomes of this study showed that Participant and Independent learner styles were important factors contributing to the success of online learners. Even if they did not possess the skills before they entered the courses, the ability to demonstrate, analyze, andapply course content was of benefit to learners. Interaction did not have a significant impact on the outcomes or satisfaction of learners. The more closely the online courses matched the individual’s personal learning style and approach to online learning the moresatisfied and successful they were.The results of the research include a number of practical examples that can be easily integrated into the online learning environment. Those delivering, teaching, andstudying in online programs can use these results to increase their understanding of online education and apply that understanding to making online education more effective.
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Byers, Albert S. "Examining Learner-Content Interaction Importance and Efficacy in Online, Self-Directed Electronic Professional Development in Science for Elementary Educators in Grades Three–Six." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/40430.
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Stagnant student achievement in science education in the United States has placed an increased emphasis on teacher professional development. Since many elementary educators could benefit from improved science content knowledgeâ and given the challenge of providing this at a level scalable and sustainable through face-to-face delivery aloneâ this study sought to understand what types of online self-directed content-interaction strategies are of greatest learner satisfaction and provide the highest learning impact for teachers in grades three–six. Employing Anderson's Equivalency of Interaction Theorem, and looking at age, years teaching experience, and learning preferences via Kolb and Kolb's Learning Style Inventory 3.1 (2005), this descriptive study non-randomly sampled 85 educators who passed a series of self-paced interactive web modules to rate their preferences for five different types of content-interactive strategies: (a) simulations, (b) interactive reference, (c) hands-on, (d) personal feedback, and (e) pedagogical implications. Using an online survey and a pre- and postassessment instrument it was found that (a) as age and years teaching experience increase, teachers' preferences for personal feedback, interactive reference, and simulations increased, (b) teachers' content knowledge increased significantly after completing the web modules, (c) teachers' learning style moderately aligned with their preferences for content-interaction strategies, and (d) teachers least preferred the pedagogical implications component. Instructional designers and education administrators selecting professional development for teachers may find this informative. Data from this research support Anderson's theory that if the content interaction is rich, human interaction may be provided in diminished capacities.Ph. D.
Book chapters on the topic "Learner-content interaction"
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Wray, Robert E., and Kimberly Stowers. "Interactions Between Learner Assessment and Content Requirement: A Verification Approach." In Advances in Intelligent Systems and Computing, 36–45. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60018-5_4.
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August, Stephanie E., and Audrey Tsaima. "Artificial Intelligence and Machine Learning: An Instructor’s Exoskeleton in the Future of Education." In Innovative Learning Environments in STEM Higher Education, 79–105. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-58948-6_5.
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AbstractThe role of artificial intelligence in US education is expanding. As education moves toward providing customized learning paths, the use of artificial intelligence (AI) and machine learning (ML) algorithms in learning systems increases. This can be viewed as growing metaphorical exoskeletons for instructors, enabling them to provide a higher level of guidance, feedback, and autonomy to learners. In turn, the instructor gains time to sense student needs and support authentic learning experiences that go beyond what AI and ML can provide. Applications of AI-based education technology support learning through automated tutoring, personalizing learning, assessing student knowledge, and automating tasks normally performed by the instructor. This technology raises questions about how it is best used, what data provides evidence of the impact of AI and ML on learning, and future directions in interactive learning systems. Exploration of the use of AI and ML for both co-curricular and independent learnings in content presentation and instruction; interactions, communications, and discussions; learner activities; assessment and evaluation; and co-curricular opportunities provide guidance for future research.
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Morrison, Gary R., and Gary J. Anglin. "An Analysis of Success and Failures: Focusing on Learner–Content Interactions for the Next Generation of Distance Education." In The Next Generation of Distance Education, 235–50. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-1785-9_16.
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Liu, Juhong Christie, and Elaine Roberts Kaye. "Preparing Online Learning Readiness with Learner-Content Interaction." In Handbook of Research on Strategic Management of Interaction, Presence, and Participation in Online Courses, 216–43. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9582-5.ch009.
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Online learning readiness is fundamental to student successful participation, presence, and interaction in online courses. Effective facilitation of these key components depends on sound instructional design. In self-directed online environments, learner-content interaction and scaffolding self-regulated learning have been found of primary importance to generate meaningful learning. To provide a solution to the challenges of interoperability of various functions in synchronous online learning environments, this chapter presents a case study about the design and development of a self-paced orientation to help students acquire online learning readiness. Learner-content interaction is strategically utilized in the design to scaffold self-regulated learning. The results of the case study demonstrate that this orientation positively prepares students to be ready for learning in a synchronous online environment. The approach can be of practical use to individuals and groups.
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Jia, Jiyou, Zhuhui Ding, Yuhao Chen, and Xuemei Cui. "The Study of the Relationship among Learner-Content Interaction, Learning Performance, and Learner Satisfaction in a Blended Learning English Class in a Rural High School." In Educational Stages and Interactive Learning, 191–208. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0137-6.ch012.
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Learner-content interaction is one of the four interaction types in computer assisted instruction systems. “Without leaner-content interaction, little or no learning will occur” (Moore, 1993). The authors developed a web-based vocabulary and listening learning and assessment system for English instruction, which focuses on the learner-content interaction based on the behaviorisms learning theory. The authors integrated it into a normal English class weekly for a term in a high school located in a rural province in China. They analyzed the student exam scores, the student survey answers, learner-content interaction records in the learning system, and their relationship using statistical software SPSS. The research reveals that there exists almost significant positive correlation between learner-content interaction and learning performance, but there is not any correlation between the learner-content interaction and learner satisfaction. The survey results also demonstrated the learners’ satisfaction with this interactive learning system. The reasons for those findings are analyzed. Finally, limitations and further work are discussed.
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Morris, Olivia P. "Web-Based Technologies for Ensuring Interaction in Online Courses." In Handbook of Research on Strategic Management of Interaction, Presence, and Participation in Online Courses, 244–79. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9582-5.ch010.
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This chapter discusses findings from a study of five faculty and 33 students from micro- and macroeconomics sections of online economics courses over the course of a semester. The study investigated faculty choice of web-based technologies for interaction and students' perceptions of such technologies. The objectives of the study were twofold. First, the author investigated faculty choice of web-based technologies for three major types of online interactions (learner–instructor, learner–content, and learner–learner). Second, the author examined student perceptions of technologies and recorded recommendations. Results from two online surveys of faculty and students at 2- and 4-year colleges showed strong agreement with perceptions of Moore, Drouin, Rhode, and Gardner. Faculty and students reported learner–learner interactions as the least important of the three interaction types. Although the discussion board was most effective for all three types of interactions, students from this sample did not prefer more learner–learner discussions.
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Johnson, Genevieve Marie, and Audrey Cooke. "An Ecological Model of Student Interaction in Online Learning Environments." In Multicultural Instructional Design, 387–415. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9279-2.ch018.
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Ecological theory conceptualized the student as surrounded by a series of environmental systems and the processes of learning as interaction between the student (i.e., bioecology) and the systems (i.e., microsystem, exosystem and macrosystem). This chapter synthesizes the literature and proposes an ecological model of student interaction in online learning environments. Specifically, learner-learner, learner-instructor and learner-content interactions occur in the microsystem and are mediated by the interface subsystem. Student microsystemic interactions influence and are influenced by the instructional design exosystem. The macrosystem reflects the indirect influence of university culture on all aspects of the microsystem, exosystem and interface subsystem. The chronosystem captures the effect of time on the student and on all ecological systems (e.g., students mature and university culture evolves)
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Johnson, Genevieve Marie, and Audrey Cooke. "An Ecological Model of Student Interaction in Online Learning Environments." In Handbook of Research on Strategic Management of Interaction, Presence, and Participation in Online Courses, 1–28. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-9582-5.ch001.
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Ecological theory conceptualized the student as surrounded by a series of environmental systems and the processes of learning as interaction between the student (i.e., bioecology) and the systems (i.e., microsystem, exosystem and macrosystem). This chapter synthesizes the literature and proposes an ecological model of student interaction in online learning environments. Specifically, learner-learner, learner-instructor and learner-content interactions occur in the microsystem and are mediated by the interface subsystem. Student microsystemic interactions influence and are influenced by the instructional design exosystem. The macrosystem reflects the indirect influence of university culture on all aspects of the microsystem, exosystem and interface subsystem. The chronosystem captures the effect of time on the student and on all ecological systems (e.g., students mature and university culture evolves)
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Kalyuga, Slava. "Tailoring Multimedia Environments to Learner Cognitive Characteristics." In Managing Cognitive Load in Adaptive Multimedia Learning, 221–45. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-048-6.ch010.
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Personalized adaptive multimedia environments provide individual learners or learner groups with experience that is specifically tailored to them. To achieve effective personalization, a variety of information about the learner is required. Tailoring multimedia environments to individual learner cognitive characteristics is becoming a major means for achieving a true learner-centered experience for learners through their interaction with multiple content sources, presentation formats, and delivery means. Personalized multimedia environments are capable of realizing advanced learning and instruction strategies based on a continuous process of adaptation between the learners and instructional systems. This adaptation process could be accomplished through personalized interaction and adaptive presentation of content, learner feedback, adaptive navigation and search, and different adaptation methodologies. As was mentioned in earlier chapters of this book, a major instructional implication of the expertise reversal effect is the need to tailor dynamically instructional techniques and procedures, levels of instructional guidance to current levels of learner task-specific expertise. In online multimedia instructional systems, the levels of learner task-specific expertise change as students develop more experience in a specific task domain. Therefore, the tailoring process needs to be dynamic, i.e. consider learner levels of expertise in real time as they gradually change during the learning sessions. This Chapter describes general approaches to the design of adaptive learning environments from the perspective of tailoring learning procedures and techniques to individual cognitive characteristics of learners. Studies in aptitude-treatment interactions offered a possible approach to adaptive instruction. Intelligent tutoring systems and adaptive web-based hypermedia systems use learner models to tailor learning tasks and instructional content to individual learner characteristics. This approach accommodates learner characteristics (e.g., knowledge, interests, goals) into explicit learner models that guide adaptive procedures. On the other hand, advisement and adaptive guidance approaches realize a greater learner control over instruction and provide individualized prescriptive information in the form of recommended material and tasks based on learner past performance.
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Ng, Boon-Yuen. "Engaging Students in Emergency Remote Teaching." In Fostering Meaningful Learning Experiences Through Student Engagement, 74–91. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4658-1.ch004.
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The COVID-19 pandemic has resulted in emergency remote teaching taking place globally. Despite the abrupt and rapid transition as well as the temporary nature of emergency remote teaching, it is possible to implement quality online teaching. Instructors can benefit from a review of findings and strategies found in online learning literature. This chapter discusses the challenges of emergency remote teaching and recommends suitable teaching strategies that can be quickly implemented by instructors. The focus is on strategies that can help to engage students by promoting learner-content interaction, learner-instructor interaction, and learner-learner interaction. This chapter also discusses strategies that can build a community of inquiry during emergency remote teaching. Future research directions are proposed.
Conference papers on the topic "Learner-content interaction"
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Belawati, Tian, Dewi Artati Padmo, and Dimas Prasetyo. "EXPLORATION OF LEARNER-CONTENT INTERACTION USING INTERACTIVE DIGITAL MATERIALS." In 12th International Conference on Education and New Learning Technologies. IATED, 2020. http://dx.doi.org/10.21125/edulearn.2020.0253.
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Salusso, Daniela, and Stefania Cicillini. "Content interaction in online university courses: the start@unito project." In Fifth International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2019. http://dx.doi.org/10.4995/head19.2019.9449.
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The growing number of online courses offered by many universities worldwide is reshaping the traditional delivery of knowledge. This study tries to combine e-learning and the learning principles of language and linguistics. Drawing on the experience of the start@unito project at the University of (blinded), which this year also offers language and linguistics courses, we tackle one of the main problems of online education, namely that of interaction. This study tries to combine e-learning and the learning principles of language and linguistics, focusing on the three types of interaction proposed by Moore (1989): learner-learner, learner-instructor, learner-content interactions. Specifically, we concentrate on the various ways in which learners may interact with the content in asynchronous untutored online university courses. Starting from the assumption that all the language and linguistics courses need a great deal of interaction, in order to be beneficial to students, it emerges that the application of pedagogical approaches and a careful instructional design of the courses may facilitate a more effective interaction with the content of the object of study.
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Memeti, Agon, and Betim Cico. "Supporting Content and Learner Collaboration and Interaction through Cloud Computing Models." In 2014 Sixth International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN). IEEE, 2014. http://dx.doi.org/10.1109/cicsyn.2014.39.
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Kwok, David. "Predictors of students’ perceived learning in off-campus learning environment: Online interactions are not enough." In ASCILITE 2020: ASCILITE’s First Virtual Conference. University of New England, Armidale, 2020. http://dx.doi.org/10.14742/ascilite2020.0114.
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This study aimed to investigate how three online interaction variables (i.e., learner-instructor interaction, learner-content interaction, and learner-learner interaction) and self-efficacy for learning can predict students’ perceived learning in an off-campus learning environment. A total of 654 polytechnic students participated in the study. By controlling gender and age, regression results showed that self-efficacy for learning was the significantly strongest predictor of perceived learning, followed by learner-content interaction. Perceived learning and learner-instructor interaction for males were significantly higher than females. Finally, implications of these findings along with limitations of the study and directions for future research are discussed in the paper.
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Motloung, Amos, and Lydia Mavuru. "TEACHING LIFE SCIENCES USING SECOND LANGUAGE: HOW DO TEACHERS COPE?" In International Conference on Education and New Developments. inScience Press, 2021. http://dx.doi.org/10.36315/2021end007.
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Language plays a pivotal role in science teaching and learning as it serves as both the medium through which the teachers and learners think and also communicate in the classrooms. Science and Life sciences in particular comprises of a unique scientific language register with a lot of technical words and terms borrowed from other languages other than English. Previous researchers acknowledged the difficulty teachers face when teaching science in a language different from their own and that of the learners. Consequently, the current study explored the various ways in which English-second-language Life Sciences teachers taught Life Sciences in order to mitigate language difficulties for themselves and those of their learners. The study was guided by the research question: how does English as a second language influence teacher practices when teaching Life Sciences to grade 12 learners? Using a qualitative research design, six Life Sciences teachers with various levels of teaching experience, two novices, two relatively experienced and two very experienced teachers, were purposefully selected from six different schools. The assumption was that teachers at various levels of experience may have different experiences of teaching the subject in a second language. Each teacher was observed once whilst teaching the same topic to grade 11 Life Sciences learners to establish their teaching practices. Incidences of learner engagement with the content, teacher-learner and learner-learner interactions were captured and scored using the Reformed Teaching Observation Protocol rubric. Lesson observations were suitable for data collection as they allowed the researcher to examine even non-elicited behaviour as it happened. The findings indicated that language difficulties were prevalent and affected both teachers and learners in engaging with the concepts at hand. For instance, most of the teachers whether experienced or not, struggled to explain and elaborate vital Life Sciences concepts in a comprehensible manner due to lack of proficiency in the language of instruction. The teachers mostly utilised code-switching as it enabled them to explain and elaborate scientific terms and processes in both English and their home languages. Because learners were allowed to express themselves in their home languages, the level of interaction also increased. In addition, teachers used transliteration and demonstrations as teaching strategies that also reduced the challenges of using English as a medium of instruction. The study informs both pre-service and in-service teacher development programmes.
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Vallis, Carmen, and Courtney Shalavin. "Bend me, stretch me: connecting learning design to choice." In ASCILITE 2020: ASCILITE’s First Virtual Conference. University of New England, Armidale, 2020. http://dx.doi.org/10.14742/ascilite2020.0117.
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Active and interactive learning approaches in course design are widely supported as increasing student engagement and learning outcomes in blended or technology-enhanced environments. As such, designing for student engagement in self-paced distance and online learning environments is a growing area of research. However, learning is increasingly developed and delivered via the institutional LMS where the design and sequencing of content is linear and has an inherent directional flow. Learner choice in navigation and activity in online learning environments may also impact learner engagement but there is less research on these factors. In this research project, we evaluate the redesign and prototype of one week of a first-year business subject that offers learner choice in navigating the online environment and choice of activity. Insights into the innovative educational design and implementation of non-linear and interactive learning are presented within an Australian higher education business context, where flexibility and choice emerge as key design affordances.
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van Eck, Rene, Annelie Jordaan, and Ahmed A. Wadee. "A Creative Pedagogy for Learner-Content Interactions as Work Placement Experience at Universities of Technology." In 2019 International Multidisciplinary Information Technology and Engineering Conference (IMITEC). IEEE, 2019. http://dx.doi.org/10.1109/imitec45504.2019.9015853.
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"A Review of Project Management Course Syllabi to Determine if They Reflect the Learner-centred Course Pedagogy [Abstract]." In InSITE 2019: Informing Science + IT Education Conferences: Jerusalem. Informing Science Institute, 2019. http://dx.doi.org/10.28945/4323.
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Aim/Purpose: Project Management (PM) capability is one of the skill sets that employers across a broad range of industries are seeking with a projected current talent deficit of 1.5 million jobs. Background A course syllabus is both a tool and a resource used by the learners, the faculty, and the school to articulate what to learn, how to learn, and how and when to access and evaluate the learning outcomes. A learner-centred course syllabus can enhance the teaching, the learning, and the assessment and evaluation processes. A learner-centred pedagogy seeks to create a community of learners by sharing power between the teachers and the students, providing multiple assessments, evaluations, and feedback mechanisms. Methodology: This study seeks to find out if the PM course syllabi reflect the attributes of a learner-centred pedagogy through a content analysis of 76 PM course syllabi gathered in 2018 from instructors affiliated with the Association to Advance Collegiate Schools of Business (AACSB) in the USA. Contribution: On the issue of PM content, only seven percent (7%) of the syllabi articulate that students would be involved in “real world” experiential projects or be exposed to the Project Management Body of Knowledge (PMBOK) areas and process groups. Findings: The results reveal that PM instructors fall short in creating a community of learners by not disclosing their teaching philosophy, beliefs, or assumptions about learning and tend not to share power, and do not encourage teacher-student interactions. Recommendations for Practitioners: Schools should try to align their programs both to the local and the national job markets by engaging PM practitioners as advisors. When engaged as ad-visors, PM practitioners provide balance and direction on curriculum design or redesign, emerging industry innovations, as well as avenues for internships and job opportunities. Recommendation for Researchers: PM has various elements associated with entrepreneurship and management and is also heavily weighted towards the use of projects and technology, making it a good candidate for learner-centred pedagogy. However, researchers should explore this assertion further by comparing the attainment of learning outcomes and students’ overall performance in a learner-centred and a non-learner-centred PM course. Impact on Society: To minimize this talent deficit individuals as well as the academy should invest in PM education and one approach that may increase the enthusiasm in the PM coursework is having a learner-centred pedagogy. Future Research: Researchers should explore this line of research further by gathering syllabi from other regions such as the European Union, Asia, Africa, Australia, etc. as well as conduct a comparative study between these various regions in order to find if there are similarities or differences in how PM is taught.
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Mariotti, Marcella, Giovanni Lapis, and Alessandro Mantelli. "JALEA: an authentic and personal path to JApaneseLEArning." In Third International Conference on Higher Education Advances. Valencia: Universitat Politècnica València, 2017. http://dx.doi.org/10.4995/head17.2017.5438.
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This paper aims to present JALEA, an innovative web tool for the acquisition of the Japanese language dedicated to higher education learners. In particular it highlights the innovative learner-centered approach based on the self-guided discovery of grammar structures and words’ meanings through the combined use of realia (multimedia contents referring to real-life situations in Japan), hyperlinks and interactive features such as pop-up dictionary, character-writing explanations, slow-motion option in video examples, etc. Moreover, it illustrates the ICT characteristics of this web tool,permitting on the one handthe smooth working of the application on several platforms (pc, tablet and smartphone); on the other, its sustainability and maintainability thanks to the implementation of a layer accessible to maintainers (backend) with several automatization features that facilitate the addition of more content,s also by personnel with low ICT knowledge or skills.