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Schwab-McCoy, Aimee; Baker, Catherine M.; Gasper, Rebecca E. – Journal of Statistics and Data Science Education, 2021
In the past 10 years, new data science courses and programs have proliferated at the collegiate level. As faculty and administrators enter the race to provide data science training and attract new students, the road map for teaching data science remains elusive. In 2019, 69 college and university faculty teaching data science courses and…
Descriptors: Statistics Education, Higher Education, College Students, Teaching Methods
Hartmann, Christian; Rummel, Nikol; Bannert, Maria – Journal of Learning Analytics, 2022
This paper presents a fine-grained process analysis of 22 students in a classroom-based learning setting. The students engaged (and failed) in problem-solving attempts prior to instruction (i.e., the Productive-Failure approach). We used the HeuristicsMiner algorithm to analyze the data of a quasi-experimental study. The applied algorithm allowed…
Descriptors: Heuristics, Problem Solving, Computer Software, Comparative Analysis
Johnson, Hailey A.; Adams, Peter N.; Antonenko, Pavlo D. – Journal of Geoscience Education, 2022
The vast extent to which quantitative prerequisites vary among post-secondary geoscience programs often presents a challenge for educators and students alike in courses for which math and physics are foundational. This study discusses the design of GEOAppS, a suite of educational numerical models, and its application toward lowering the…
Descriptors: Computer Software, Physics, Science Instruction, Mathematics Instruction
Rafique, Muhammad Usman; Mohammed, Aquil Mirza; Li, Shuai; Khan, Ameer Tamoor; Kadry, Seifedine – Advances in Engineering Education, 2019
Consumer electronics are creating huge job markets for graduates with the programming back-ground, and more and more computer science departments are launching embedded software subjects to meet this demand. However, most students majoring computer science do not have the background in electronics, or even circuits. Due to this reason, how to…
Descriptors: Case Studies, Open Source Technology, Electronics, Engineering Education
Adjei, Seth A.; Botelho, Anthony F.; Heffernan, Neil T. – Grantee Submission, 2016
Prerequisite skill structures have been closely studied in past years leading to many data-intensive methods aimed at refining such structures. While many of these proposed methods have yielded success, defining and refining hierarchies of skill relationships are often difficult tasks. The relationship between skills in a graph could either be…
Descriptors: Prediction, Learning Analytics, Attribution Theory, Prerequisites
Baroody, Arthur J.; Eiland, Michael D.; Purpura, David J.; Reid, Erin E. – American Educational Research Journal, 2013
In a 9-month training experiment, 64 first graders with a risk factor were randomly assigned to computer-assisted structured discovery of the add-1 rule (e.g., the sum of 7 + 1 is the number after "seven" when we count), unstructured discovery learning of this regularity, or an active-control group. Planned contrasts revealed that the…
Descriptors: Prerequisites, Risk, Discovery Learning, Control Groups
Reinicke, Bryan; Janicki, Thomas; Gebauer, Judith – Information Systems Education Journal, 2013
Learning is enhanced with repetition, either through more exercises in individual courses, or through the integration of concepts in a capstone experience. A well planned and integrated curriculum can utilize a capstone course, not only to provide a service learning component, but also as an opportunity to refresh students on key discipline topics…
Descriptors: Curriculum Implementation, Integrated Curriculum, Information Systems, Computer Science Education
Chen, M.-H.; Huang, M.-C.; Ting, Y.-C.; Chen, H.-H.; Li, T.-L. – IEEE Transactions on Education, 2010
In this article, a course on high-frequency wireless communications systems is presented. With the 145-MHz baseband subsystem available from a prerequisite course, the present course emphasizes the design and implementation of the 2.45-GHz front-end subsystem as well as system integration issues. In this curriculum, the 2.45-GHz front-end…
Descriptors: Prerequisites, Laboratories, Telecommunications, Computer Networks
Knauf, Rainer; Sakurai, Yoshitaka; Tsuruta, Setsuo; Jantke, Klaus P. – Journal of Educational Computing Research, 2010
University education often suffers from a lack of an explicit and adaptable didactic design. Students complain about the insufficient adaptability to the learners' needs. Learning content and services need to reach their audience according to their different prerequisites, needs, and different learning styles and conditions. A way to overcome such…
Descriptors: Prerequisites, College Instruction, Educational Experiments, Cognitive Style
Peer reviewedStephens, Larry J. – Journal of Computers in Mathematics and Science Teaching, 1984
Correlations derived from this study indicate that undergraduate students' (N=24) and graduate students' (N=18) performance in statistical methods is not strongly influenced by their aptitude in computer science. One implication is that no computer science prerequisite is necessary for courses utilizing statistical packages. (JN)
Descriptors: Academic Aptitude, College Mathematics, Computer Science, Computer Software
Kollar, Ingo; Fischer, Frank – Journal of Educational Computing Research, 2006
This article's main claim is that to support individuals' development toward becoming self-regulated learners requires certain amounts of other-regulation, i.e. scaffolding. Starting from this assertion, we discuss 6 issues that surfaced in the 5 articles of this special issue. First, we argue that designers need good reasons for taking freedom…
Descriptors: Prerequisites, Freedom, Learning Strategies, Independent Study
Pechenizkiy, Mykola; Calders, Toon; Conati, Cristina; Ventura, Sebastian; Romero, Cristobal; Stamper, John – International Working Group on Educational Data Mining, 2011
The 4th International Conference on Educational Data Mining (EDM 2011) brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large datasets to answer educational research questions. The conference, held in Eindhoven, The Netherlands, July 6-9, 2011, follows the three previous editions…
Descriptors: Academic Achievement, Logical Thinking, Profiles, Tutoring
Wang, Feng-Kwei; Schwen, Thomas – Performance Improvement Quarterly, 2003
In the context of Autoparts, a multinational manufacturer for automotive electronics, Lotus Notes was employed to create an e-learning system. This system was titled "Using Notes for Case-based Learning Environments" (UNCLE). The UNCLE project attempted to encapsulate knowledge and understanding of those organizational factors that might influence…
Descriptors: Electronic Learning, Computer Mediated Communication, Case Method (Teaching Technique), Corporate Education

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