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Shu-Hsuan Chang; Po-Jen Kuo; Jia Xin Kao; Lee-Jen Yang – Interactive Learning Environments, 2024
With the development of education technology, Smart classroom has evolved to version 2.0. Currently, the meta-analysis literature on the effects of smart classroom-based instruction on academic achievement ignores the impact of technological changes and time on the effect sizes. This study incorporated the impact of technological changes and time,…
Descriptors: Educational Technology, Technology Integration, Instructional Effectiveness, Academic Achievement

Dios, R.; Geller, J. – Computers & Education, 1998
Focuses on identifying the educational effects of "activity oriented" instructional techniques. Examines which instructional methods produce enhanced learning and comprehension. Discusses the problem of learning "sorting algorithms," a major topic in every Computer Science curriculum. Presents a low-tech, hands-on teaching method for sorting…
Descriptors: Active Learning, Algorithms, Computer Science Education, Experiential Learning

Ng, G. S. – Computer Applications in Engineering Education, 1997
Describes a course teaching the use of computers in emulating human visual capability and image processing and proposes an interactive presentation using multimedia technology to capture and sustain student attention. Describes the three phase presentation: introduction of image processing equipment, presentation of lecture material, and…
Descriptors: Algorithms, Attention, Computer Assisted Instruction, Educational Technology

Rieber, Lloyd – College Teaching, 1992
One college writing teacher engaged his class in the revision of a computer program to check grammar, focusing on improvement of the algorithms for identifying inappropriate uses of the passive voice. Process and problems of constructing new algorithms, effects on student writing, and other algorithm applications are discussed. (MSE)
Descriptors: Algorithms, College Instruction, Computer Assisted Instruction, Computer Software
Allan, V. H.; Kolesar, M. V. – 1996
The typical introductory programming course is not an appropriate first computer science course for many students. Initial experiences with programming are often frustrating, resulting in a low rate of successful completion, and focus on syntax rather than providing a representative picture of computer science as a discipline. The paper discusses…
Descriptors: Academic Achievement, Algorithms, Computer Science Education, Course Content
McGaghie, William C. – 1996
The cognitive structure of 13 concepts in pulmonary physiology was explored among 112 first-year medical students and among 32 faculty members in three different expertise groups in a knowledge representation study. Purposes were to assess the degree of agreement among faculty members, map students' concept structures, and compare the similarity…
Descriptors: Algorithms, Cognitive Structures, Comparative Analysis, Higher Education
Oathout, Margaret J. – 1995
Impediments that hamper learning statistics, the relative characteristics of successful and unsuccessful learners, and the nature of interventions required to make learning statistics successful and meaningful were studied. Twenty graduate and 15 undergraduate students in different fields from a large public university, a small private college,…
Descriptors: Academic Achievement, Algorithms, College Faculty, College Students

Kann, Charles; Lindeman, Robert W.; Heller, Rachelle – Computers & Education, 1997
In the past, algorithm animation has yielded mixed results as a teaching tool in computer science. This article presents a study in which undergraduates at George Washington University (DC) viewed algorithm animations and then programmed the same algorithms. Results suggest that combing the two is an effective way to use animation and to produce…
Descriptors: Algorithms, Animation, Computer Science, Computer Uses in Education
Ingram, Albert L. – Educational Communication and Technology Journal, 1988
Discussion of instructional design models focuses on a study concerned with developing effective instruction in heuristic-based problem solving for computer programing. Highlights include distinctions between algorithms and heuristics; pretests and posttests; revised instructional design procedures; student attitudes; task analysis; and…
Descriptors: Academic Achievement, Algorithms, Guidelines, Heuristics