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Journal articles on the topic 'Computer aided instruction'

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1

Barrow, Lisa, Lisa Markman, and Cecilia Elena Rouse. "Technology's Edge: The Educational Benefits of Computer-Aided Instruction." American Economic Journal: Economic Policy 1, no. 1 (January 1, 2009): 52–74. http://dx.doi.org/10.1257/pol.1.1.52.

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We present results from a randomized study of a well-defined use of computers in schools, a popular instructional computer program for pre-algebra and algebra. We primarily assess the program using a test designed to target pre-algebra and algebra skills. Students randomly assigned to computer-aided instruction score significantly higher on a pre-algebra and algebra test than students randomly assigned to traditional instruction. We hypothesize that this effectiveness arises from increased individualized instruction as the effects appear larger for students in larger classes and in classes with high student absentee rates. (JEL H75, I21)
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2

Linden, Jan, and Egbert M. H. Assink. "Designing Computer-Aided Instruction." Performance Improvement Quarterly 3, no. 2 (October 22, 2008): 65–76. http://dx.doi.org/10.1111/j.1937-8327.1990.tb00458.x.

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3

Hendrickson, C., A. Pasquale, W. Robinson, and M. Rossi‐Velasco. "Applications of Computer Aided Instruction." Journal of Professional Issues in Engineering 112, no. 3 (July 1986): 194–202. http://dx.doi.org/10.1061/(asce)1052-3928(1986)112:3(194).

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4

Hoffmann, James. "Computer-Aided Collaborative Music Instruction." Harvard Educational Review 61, no. 3 (September 1, 1991): 270–79. http://dx.doi.org/10.17763/haer.61.3.h161460535717722.

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5

Saldon Eder, Marylene, Paul Rojas, Mary Grace Empasis, and Love Jhoye Raboy. "Computer Aided Instruction For Preschoolers In Mathematics." Proceedings Journal of Education, Psychology and Social Science Research 1, no. 1 (November 22, 2014): 37–44. http://dx.doi.org/10.21016/icepss.14018.

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Computers are increasingly a part of pre-schoolers to professional lives. The use of multimedia in education has significantly changed people’s learning processes. Computer technology holds promise for improving student performance and the quality of teaching education programs at all levels. Today, development has been rapid and technology has been acknowledged as an additional teaching tool. Results from a number of research studies indicate that appropriately designed multimedia instruction enhances students’ learning performance in mathematics, and literacy. The purpose of the present paper was to discuss research avenues employing computers as a learning tool and to analyze the results obtained by this method at the pre-schoolers learning level.
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6

Villar, Ariel Gulla. "COMPUTER-AIDED MODULAR INSTRUCTIONS IN PROBLEM SOLVING." Journal of Mathematical Sciences & Computational Mathematics 2, no. 1 (November 2, 2020): 90–128. http://dx.doi.org/10.15864/jmscm.2107.

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This study is an experimental pre-test and post-test design which essentially needed to compare the effectiveness of Computer Aided Modular Instruction with the Traditional Method of teaching word problem involving fractions to the grade six (6) pupils of Gadgaran Integrated School, Calbayog City, Samar during the school year 2019-2020.Computer aided modular instruction is a teaching technique that enable pupils interact with the lesson programmed to the computer given to the experimental group. The Traditional Method on the other hand, is a usual way of teaching composing with lecture-discussion given to the control group. A single class consisting of regular grade six (6) pupils was chosen as the subject of the study. Their average grade is approaching proficiency level in Mathematics subject during the first grading period both of experimental and control group. They were randomly assigned and chosen using odd or even technique. The instrument used in this study was researcher made test in Mathematics and was carefully validated. The content topics in the Computer Aided Modules were based on the DepEd Learning competencies set for the grade six level. These are further checked and validated by the Mathematics teachers of Calbayog IV District, Division of Calbayog City. The evaluation survey questionnaire on pupils’ difficulties, reactions and attitudes towards Computer Aided Modular Instruction was adapted from the study of Saladaña on SIM-Based Instruction. The questionnaires were revised by the present researcher of this study. The control and experimental group have significant mean difference in the pre-test and post-test scores but have no significant mean difference in the mean percentage gain of scores. The Computer Aided Modular Instructions and the Conventional Method of Instruction resulted for the same level of achievement for the pupils with slight challenges on the part of pupils and facility in teaching of the teachers. Based on the result it was recommended on the implementation and adaptation of this strategy into the classroom utilizing Computer Aided Instruction in enhancing the better-learning output.
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7

CHANG, BETTY L. "Computer-Aided Instruction in Nursing Education." Annual Review of Nursing Research 4, no. 1 (September 1986): 217–33. http://dx.doi.org/10.1891/0739-6686.4.1.217.

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8

Jones, Beth H., and Timothy R. Hill. "Computer-Aided Negotiation for Classroom Instruction." Journal of Educational Technology Systems 22, no. 4 (June 1994): 327–35. http://dx.doi.org/10.2190/jpk5-85kt-698b-x1rx.

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This article describes a computer system being developed to support two-party negotiation. It is currently used for classroom instruction; eventually it could be used by one and/or both parties in real-world negotiation situations. In using the software, the negotiator enters his/her weights for each issue, function forms, and estimates of the partner's importance weightings. The system will then generate a graph depicting the utility for each side of all possible negotiation agreements. A click on the mouse allows users to see what contract(s) each dot in the graph represents, or where a specific contract would appear on the graph. At any time weights or estimates can be easily manipulated. The system helps teach the decision-analytic approach to negotiation and demonstrates how changes in preferences on the issues being negotiated affect the possible outcomes.
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9

Stephenson, David T. "Computer-Aided Instruction in Automated Instrumentation." Journal of Educational Technology Systems 14, no. 1 (January 1, 1985): 3–14. http://dx.doi.org/10.2190/xcgh-7jv9-mftg-vmbf.

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10

Bahr, John. "Computer-Aided Instruction in Perinatal Education." American Journal of Perinatology 3, no. 02 (April 1986): 147–50. http://dx.doi.org/10.1055/s-2007-999855.

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11

Sandroni, C., M. G. Bocci, F. Damiani, and R. Proietti. "Computer-aided instruction for basic CPR." Resuscitation 34, no. 2 (April 1997): 191. http://dx.doi.org/10.1016/s0300-9572(97)84240-2.

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12

Dumitru, Mihaela, V. Ninulescu, P. E. Sterian, and M. Piscureanu. "Computer aided instruction in laser dynamics." Computer Physics Communications 121-122 (September 1999): 583–85. http://dx.doi.org/10.1016/s0010-4655(99)00411-7.

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13

Jaffe, C. C. "Computer-aided instruction: the real issues." RadioGraphics 14, no. 2 (March 1994): 278. http://dx.doi.org/10.1148/radiographics.14.2.8190953.

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14

Jaffe, C. C., and P. J. Lynch. "Computer-aided instruction for radiologic education." RadioGraphics 13, no. 4 (July 1993): 931–37. http://dx.doi.org/10.1148/radiographics.13.4.8356279.

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15

Simons, P. Robert-Jan, and Frank P. C. M. De Jong. "Self-regulation and Computer-aided Instruction." Applied Psychology 41, no. 4 (October 1992): 333–46. http://dx.doi.org/10.1111/j.1464-0597.1992.tb00710.x.

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16

Lih-Shyang Chen, Pei-Wen Liu, Ku-Yaw Chang, Jong-Ping Chen, Su-Chou Chen, Hong-Chow Hong, and Jain Liu. "Using hypermedia in computer-aided instruction." IEEE Computer Graphics and Applications 16, no. 3 (May 1996): 52–57. http://dx.doi.org/10.1109/38.491185.

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17

Blash, Anthony. "Computer-Aided Instruction: A Student’s Perspective." Journal of the American Pharmaceutical Association (1996) 40, no. 3 (March 2000): 435. http://dx.doi.org/10.1016/s1086-5802(16)31099-3.

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18

Feng, Mei. "Research on Intelligent Computer Aided Instruction System." Applied Mechanics and Materials 687-691 (November 2014): 2668–71. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.2668.

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This paper first outline the present conditions of Intelligent Computer Aided Instruction, then elaborate the contents of Intelligent Computer Aided Instruction system, and finally discuss the future development direction of the Intelligent Computer Aided Instruction system.
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19

TSUGAWA, Sadayuki, and Saburoh TABEI. "Computer-Aided Instruction System of Automobile Driving." Transactions of the Society of Instrument and Control Engineers 22, no. 7 (1986): 763–70. http://dx.doi.org/10.9746/sicetr1965.22.763.

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20

Guo, Jing, and Jianping Zheng. "Computer Aided Instruction for Literature Courses Teaching." International Journal of Education and Management Engineering 1, no. 6 (December 29, 2011): 51–56. http://dx.doi.org/10.5815/ijeme.2011.06.08.

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21

Bunnage, Rosemary. "Computer-aided instruction in a law library." Education for Information 7, no. 2 (April 1, 1989): 107–32. http://dx.doi.org/10.3233/efi-1989-7203.

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22

Price, John A. "Developing Computer Aided Instruction Systems for Microcomputers." Journal of Research on Computing in Education 20, no. 2 (December 1987): 117–28. http://dx.doi.org/10.1080/08886504.1987.10781828.

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23

Zia, Lee L. "Computer Aided Instruction in Ordinary Differential Equations." Journal of Research on Computing in Education 21, no. 3 (March 1989): 339–48. http://dx.doi.org/10.1080/08886504.1989.10781884.

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24

Orwig, Gary W. "Expert Systems and Intelligent Computer-Aided Instruction." Journal of Research on Computing in Education 25, no. 1 (September 1992): 137–39. http://dx.doi.org/10.1080/08886504.1992.10782039.

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25

McShane, Marjorie. "Redefining Paradigm for Computer-Aided Language Instruction." Foreign Language Annals 36, no. 2 (May 2003): 198–207. http://dx.doi.org/10.1111/j.1944-9720.2003.tb01470.x.

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26

Rohrs, Richard C. "Sources and Strategies for Computer-Aided Instruction." Historical Methods: A Journal of Quantitative and Interdisciplinary History 20, no. 2 (April 1987): 79–83. http://dx.doi.org/10.1080/01615440.1987.9955261.

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27

Pallini, L., F. Zirilli, L. Stacchio, and S. Piroli. "Computer-aided instruction in wave propagation phenomena." Engineering Science & Education Journal 7, no. 5 (October 1, 1998): 215–20. http://dx.doi.org/10.1049/esej:19980506.

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28

J. K. Mitchell and R. Cook. "Computer Aided Instruction of Topics in Surveying." Transactions of the ASAE 31, no. 3 (1988): 0720–24. http://dx.doi.org/10.13031/2013.30773.

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29

Conradty, Catherine, and Franz X. Bogner. "Computer-Aided Learning: Unguided versus Guided Instruction." Advanced Science Letters 4, no. 11 (November 1, 2011): 3310–16. http://dx.doi.org/10.1166/asl.2011.2040.

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30

AITKEN, S. "Computer-aided instruction with the multiply impaired." Journal of Intellectual Disability Research 32, no. 4 (June 28, 2008): 257–63. http://dx.doi.org/10.1111/j.1365-2788.1988.tb01414.x.

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31

Vyhandu, Priit. "Computer-aided instruction for teaching list processing." Education and Computing 6, no. 1-2 (July 1990): 177–80. http://dx.doi.org/10.1016/s0167-9287(05)80067-6.

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32

Dori, Yehudit J., and Niza Barnea. "A computer-aided instruction module on polymers." Journal of Chemical Information and Modeling 33, no. 3 (May 1, 1993): 325–31. http://dx.doi.org/10.1021/ci00013a008.

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33

SAKAI, Shinsuke, and Toshiaki HISADA. "Computer Aided Instruction for Finite Element Method." Journal of the Society of Mechanical Engineers 92, no. 847 (1989): 538–44. http://dx.doi.org/10.1299/jsmemag.92.847_538.

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34

Ujita, Hiroshi, Takeshi Yokota, Naoshi Tanikawa, and Keiko Mutoh. "Computer aided instruction systems for plant operators." International Journal of Human-Computer Studies 45, no. 4 (October 1996): 397–412. http://dx.doi.org/10.1006/ijhc.1996.0059.

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35

Schneider, Sandra M. "Computer-aided instruction in the emergency department." American Journal of Emergency Medicine 4, no. 4 (July 1986): 337–40. http://dx.doi.org/10.1016/0735-6757(86)90305-0.

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36

Frey, Diane K. "Assessing Students' Responses toward Computer-Aided Design of Apparel." Perceptual and Motor Skills 80, no. 2 (April 1995): 435–43. http://dx.doi.org/10.2466/pms.1995.80.2.435.

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This study examined the relation of responses from two student groups toward computer-aided design (CAD) for apparel to their computer use, computer experience, or enrollment in an elective CAD course. In the non-CAD group of 46, computer anxiety was significantly correlated with computer use and computer experience as well as future enrollment in the CAD course. In the CAD group of 17, students in the CAD course were significantly less fearful of job elimination and more interested in technical aspects of computers at the end of the course than at the beginning. Data have been applied to the continued course development of computer-aided design especially for apparel-related academic programs. As one outcome, length of instruction has been recommended over a continuous 16-wk. period. Using specific instructional methods to reinforce components from both the affective and cognitive domains of learning has helped to sustain positive responses throughout similar subsequent offerings. Finally, preparation for employment was enhanced as a consequence of acquiring specific technological skills included in the CAD course.
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37

Rosen, Ellen F., and Linda C. Petty. "Computer-aided instruction in a physiological psychology course." Behavior Research Methods, Instruments, & Computers 24, no. 2 (June 1992): 169–71. http://dx.doi.org/10.3758/bf03203492.

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38

Adhan, Suchin, Surachai Pimsalee, and Sunti Tuntrakool. "Data structure and algorithm computer aided instruction development." Asian International Journal of Social Sciences 16, no. 4 (October 1, 2016): 83–96. http://dx.doi.org/10.29139/aijss.20160405.

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39

Mitra, Ananda, and Craig R. Hullett. "Toward evaluating computer aided instruction: Attitudes, demographics, context." Evaluation and Program Planning 20, no. 4 (November 1997): 379–91. http://dx.doi.org/10.1016/s0149-7189(97)00019-0.

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40

Liebowitz, Jay. "Intelligent computer-aided instruction for training in telecommunications." Telematics and Informatics 5, no. 1 (January 1988): 53–63. http://dx.doi.org/10.1016/s0736-5853(88)80008-x.

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41

Becker, Lee A., and Sanjeev Gupta. "Intelligent computer-aided instruction for the coding task." Computers & Education 13, no. 2 (January 1989): 205–12. http://dx.doi.org/10.1016/0360-1315(89)90013-4.

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42

Ross, Jonathan, and Robert Schulz. "Can computer‐aided instruction accommodate all learners equally?" British Journal of Educational Technology 30, no. 1 (January 1999): 5–24. http://dx.doi.org/10.1111/1467-8535.00087.

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43

Fraij, F. "The Impact of Feedback in Computer-Aided Instruction." International Journal of Soft Computing 5, no. 2 (February 1, 2010): 67–71. http://dx.doi.org/10.3923/ijscomp.2010.67.71.

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44

Schwarz, Carl J. "Computer-Aided Statistical Instruction-Multi-Mediocre Techno-Trash?" International Statistical Review 75, no. 3 (December 10, 2007): 348–54. http://dx.doi.org/10.1111/j.1751-5823.2007.00035.x.

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45

Reclam, Michael, and Edwin A. Sexton. "Computer-Aided Instruction in Principles of Economics Texts." Social Science Computer Review 12, no. 3 (October 1994): 367–81. http://dx.doi.org/10.1177/089443939401200303.

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46

Pear, Joseph J., Gabriel J. Schnerch, Kathleen M. Silva, Louis Svenningsen, and Jody Lambert. "Web-based computer-aided personalized system of instruction." New Directions for Teaching and Learning 2011, no. 128 (December 2011): 85–94. http://dx.doi.org/10.1002/tl.471.

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47

Zvyagina, N. I. "Kernel of the computer-aided instruction system GAMMA." Journal of Soviet Mathematics 44, no. 1 (January 1989): 60–63. http://dx.doi.org/10.1007/bf01097558.

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48

Nisbett, J. Keith, and Clark R. Barker. "A kinematically intelligent blackboard for computer-aided instruction." Computer Applications in Engineering Education 4, no. 1 (1996): 85–91. http://dx.doi.org/10.1002/(sici)1099-0542(1996)4:1<85::aid-cae10>3.0.co;2-x.

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49

Moridis, C. N., and A. A. Economides. "Toward Computer-Aided Affective Learning Systems: A Literature Review." Journal of Educational Computing Research 39, no. 4 (December 2008): 313–37. http://dx.doi.org/10.2190/ec.39.4.a.

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The aim of this survey is to provide an overview of the various components of “computer aided affective learning systems.” The research is classified into 3 main scientific areas that are integral parts of the development of these kinds of systems. The three main scientific areas are: I) emotions and their connection to learning; ii) affect recognition; and iii) emotional instruction and design. Affective learning instructional technology is a new, multi-disciplinary research area, which has been developed during the last decade. This article depicts the development of the core relevant areas and describes the concerns.
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50

Teng, Zhonghong, and Shukai Cai. "Application of Computer-Aided Instruction (CAI) in the Physical Education: Survey Analysis of Chinese Universities." Journal of Healthcare Engineering 2021 (September 24, 2021): 1–6. http://dx.doi.org/10.1155/2021/1328982.

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With the advent of artificial intelligence, computer-aided instruction has developed into intelligent computer-aided instruction. Computer-aided instruction not only overcomes many weaknesses of traditional physical education teaching but also significantly increases the teaching effect and efficiency. This article first studies and analyzes the characteristics of computer-aided instruction systems. Then, we use statistical methods and logical analysis to randomly select two classes of undergraduate students as the experimental and control group, respectively. In the control group, the traditional teaching model was adopted, while the experimental group adopted the computer-aided teaching mode. The experimental group showed significant improvement in physical education as compared to the control group. The results of this study validated that the use of computer-assisted instruction is beneficial in the implementation of physical education programs, mostly in teaching concepts and principles of academic nature.
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