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Jesper Dannath; Alina Deriyeva; Benjamin Paaßen – International Educational Data Mining Society, 2025
Research on the effectiveness of Intelligent Tutoring Systems (ITSs) suggests that automatic hint generation has the best effect on learning outcomes when hints are provided on the level of intermediate steps. However, ITSs for programming tasks face the challenge to decide on the granularity of steps for feedback, since it is not a priori clear…
Descriptors: Intelligent Tutoring Systems, Programming, Computer Science Education, Undergraduate Students
Sonsoles López-Pernas; Mohammed Saqr; Aldo Gordillo; Enrique Barra – Interactive Learning Environments, 2023
Learning analytics methods have proven useful in providing insights from the increasingly available digital data about students in a variety of learning environments, including serious games. However, such methods have not been applied to the specific context of educational escape rooms and therefore little is known about students' behavior while…
Descriptors: Learning Analytics, Educational Games, Student Behavior, Computer Uses in Education
Ishihara, Makio; Rattanachinalai, Pongpun – Education and Information Technologies, 2022
This paper designs and develops a computer programming learning system for total beginners and those who have no programming experience. The traditional computer programming learning systems require prior knowledge about variables, their types, operators for arithmetic calculations and relational calculations etc., for adopting a wide range of…
Descriptors: Computer Science Education, Programming, Novices, Task Analysis
Rich, Kathryn M.; Franklin, Diana; Strickland, Carla; Isaacs, Andy; Eatinger, Donna – Computer Science Education, 2022
Background and Context: We explored how learning trajectories (LTs) might be used to design variables instruction. Objective: We aimed to develop an LT for variables and use it to guide curriculum development for fourth graders working in Scratch in an integrated mathematics+CS curriculum. Method: We synthesized learning goals (LGs) and levels of…
Descriptors: Teaching Methods, Computer Science Education, Sequential Learning, Instructional Design
Peng, Jun; Wang, Minhong; Sampson, Demetrios; van Merriënboer, Jeroen J. G. – Australasian Journal of Educational Technology, 2019
Project-based learning (PjBL) has been widely promoted in educational practice, for example, computer programming education. While PiBL may help learners to connect abstract knowledge with authentic practice, the complexity of completing an authentic project may overwhelm learners, making them unable to achieve the desired learning outcomes. This…
Descriptors: Computer Science Education, Programming, Visualization, Active Learning
Lin, Yu-Tzu; Wu, Cheng-Chih; Hou, Ting-Yun; Lin, Yu-Chih; Yang, Fang-Ying; Chang, Chia-Hu – IEEE Transactions on Education, 2016
This study explores students' cognitive processes while debugging programs by using an eye tracker. Students' eye movements during debugging were recorded by an eye tracker to investigate whether and how high- and low-performance students act differently during debugging. Thirty-eight computer science undergraduates were asked to debug two C…
Descriptors: Cognitive Processes, Programming, Computer Software, Computer Science Education
Peer reviewedRoss, Jonathan L.; Drysdale, Maureen T. B.; Schultz, Robert A. – Journal of Research on Technology in Education, 2001
Investigated effects of cognitive learning style on academic performance in two university computer applications courses. Discusses use of the Gregorc Style Delineator to collect learning style information over a four-year period. Results indicated a significant effect of learning style on academic performance, and that sequential learners…
Descriptors: Academic Achievement, Cognitive Style, Computer Science Education, Higher Education
Peer reviewedSeidel, Robert J.; And Others – Instructional Science, 1978
This study was designed to test effects of a specified degree of learner control over the sequencing of instructional materials in a self contained tutorial CAI course in COBOL programming. Findings describe contributions and interactions of learner controlled variables with respect to instructional effectiveness and efficiency. (RAO)
Descriptors: Computer Assisted Instruction, Computer Science Education, Educational Research, Individualized Instruction
Peer reviewedDyck, Jennifer L.; Mayer, Richard E. – Journal of Educational Psychology, 1989
Computer-naive university students (N=124) were taught the BASIC programing language by solving and receiving feedback on program comprehension problems stated in BASIC or on corresponding problems stated in English followed by problems stated in BASIC. Results support a sequential method of instruction beginning with use of natural language…
Descriptors: College Students, Comprehension, Computer Assisted Instruction, Computer Science Education
Grabow, Chad Lee C. – 1982
This guide provides specific information and resources for course and curriculum development, beginning with an outline of the basic elements of a curriculum and a listing of exemplary curricula in computer science education from other colleges. The definition of, need for, and essential and secondary features of a goal are presented, as well as…
Descriptors: Adoption (Ideas), Change Strategies, Computer Science Education, Course Descriptions

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