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Chih-Yueh Chou; Wei-Han Chen – Educational Technology & Society, 2025
Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…
Descriptors: Student Behavior, Help Seeking, Problem Solving, Information Retrieval
Charalampos-S Charitsis – ProQuest LLC, 2023
The employment rate of software developers has risen significantly over the last 30 years. As a result, more students are considering computer science as a potential career path. Over the last 15 years, introductory programming course (CS1) enrollment has been increasing at a much faster rate than the increase in the number of CS faculty, with no…
Descriptors: Computer Science Education, Programming, Natural Language Processing, Computer Software
Saito, Tomohiro; Watanobe, Yutaka – International Journal of Distance Education Technologies, 2020
Programming education has recently received increased attention due to growing demand for programming and information technology skills. However, a lack of teaching materials and human resources presents a major challenge to meeting this demand. One way to compensate for a shortage of trained teachers is to use machine learning techniques to…
Descriptors: Programming, Computer Science Education, Electronic Learning, Instructional Materials
Kai, Shimin; Almeda, Ma. Victoria; Baker, Ryan S.; Heffernan, Cristina; Heffernan, Neil – Journal of Educational Data Mining, 2018
Research on non-cognitive factors has shown that persistence in the face of challenges plays an important role in learning. However, recent work on wheel-spinning, a type of unproductive persistence where students spend too much time struggling without achieving mastery of skills, show that not all persistence is uniformly beneficial for learning.…
Descriptors: Decision Making, Models, Intervention, Computer Assisted Instruction
Xing, Wanli; Wu, Yonghe – International Association for Development of the Information Society, 2014
Assessment of groups in CSCL context is a challenging task fraught with many confounding factors collected and measured. Previous documented studies are by and large summative in nature and some process-oriented methods require time-intensive coding of qualitative data. This study attempts to resolve these problems for teachers to assess groups…
Descriptors: Small Group Instruction, Evaluation Methods, Computer Assisted Instruction, Cooperative Learning
Ludvigsen, Sten R. – Learning, Media and Technology, 2012
In this article, I develop a perspective on learning as multilayered phenomena. I take a socio-genetic approach in order to understand human activity and to show how categories are a fundamental part of learning in a specific type of institutional practice. In the empirical section, student dialogue is analysed in relation to a set of categories…
Descriptors: Foreign Countries, Secondary School Students, Science Education, Inquiry
Chatterjee, Allison K. – ProQuest LLC, 2011
As a foundational course in medical education, gross anatomy serves to orient medical and veterinary students to the complex three-dimensional nature of the structures within the body. Understanding such spatial relationships is both fundamental and crucial for achievement in gross anatomy courses, and is essential for success as a practicing…
Descriptors: Veterinary Medical Education, Medical Students, Laboratory Schools, Medical Schools
Papadopoulos, Ioannis; Dagdilelis, Vassilios – Journal of Mathematical Behavior, 2008
Despite its importance in mathematical problem solving, verification receives rather little attention by the students in classrooms, especially at the primary school level. Under the hypotheses that (a) non-standard tasks create a feeling of uncertainty that stimulates the students to proceed to verification processes and (b) computational…
Descriptors: Problem Solving, Grade 5, Grade 6, Mathematics Instruction
Miller, Mark L.; Goldstein, Ira P. – 1976
PATN is a design for a machine problem solver which uses an augmented transition network (ATN) to represent planning knowledge. In order to explore PATN's potential as a theory of human problem solving, a linguistic approach to protocol analysis is presented. An interpretation of a protocol is taken to be a parse tree supplemented by semantic and…
Descriptors: Classification, Computer Assisted Instruction, Computer Graphics, Computer Programs
Wilkins, D. C.; And Others – 1987
Arguing that an explicit representation of the problem-solving method of an expert system shell as abstract control knowledge provides a powerful foundation for learning, this paper describes the abstract control knowledge of the Heracles expert system shell for heuristic classification problems, and describes how the Odysseus apprenticeship…
Descriptors: Apprenticeships, Classification, Computer Assisted Instruction, Computer System Design

Ainsworth, Shaaron – Computers & Education, 1999
Discusses multiple representations and multimedia learning environments; describes a functional taxonomy of MERs (multiple external representations); and considers how MERs are used to support cognitive processes in learning and problem solving with computers. (Contains 41 references.) (Author/LRW)
Descriptors: Classification, Cognitive Processes, Computer Assisted Instruction, Educational Environment
Brown, Carol A. – Kappa Delta Pi Record, 2005
To effectively integrate computers into teaching, students' thinking skills must be a priority. The goal is to align thinking processes appropriately with the software's function. By categorizing software by genre and matching it to the desired thinking skills, teachers can plan lesson activities that teach discrete skills as well as complex…
Descriptors: Student Interests, Instructional Materials, Thinking Skills, Classification

Kearsley, Greg – Machine-Mediated Learning, 1985
Describes three principal types of embedded training: help systems, simulations, and intelligent tutors. Implications of designing and implementing embedded training are discussed in terms of a set of propositions about the use of computers for learning. (Author/MBR)
Descriptors: Artificial Intelligence, Classification, Computer Assisted Instruction, Computer Simulation
LeBlanc, John F.; And Others – Educational Technology, 1992
Discusses elementary school mathematics instruction and describes the design and construction of a database with nonroutine problem-solving situations. A classification for the problems is explained, and use of the database at Indiana University and its potential use by elementary school teachers are described. (four references) (LRW)
Descriptors: Classification, Computer Assisted Instruction, Database Design, Databases

Barba, Robertta H.; Merchant, Linda J. – Journal of Computers in Mathematics and Science Teaching, 1990
Discussed is whether embedding generative cognitive strategies in microcomputer courseware improves student performance on cognitive assessment measures and on insect classification tasks. The effects of transactional software on students' knowledge of insect anatomy and principles of insect classification were also investigated. (KR)
Descriptors: Academic Achievement, Biology, Classification, Cognitive Development
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