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Download full textRaymond Thomas; Zelia Z. Wiley; Lonnie Hobbs Jr.; Summer Santillana – Journal of Extension, 2025
An important pre-condition to diversifying the workforce of land-grant extension services is access to qualified ethnic minority individuals with an awareness and interest in pursuing extension careers. This paper highlights an example of collaboration between the K-State Research and Extension office and an educational research program at Kansas…
Descriptors: Land Grant Universities, Extension Education, College Students, Minority Group Students
Hadavand, Aboozar; Muschelli, John; Leek, Jeffrey – Journal of Learning Analytics, 2019
Due to the fundamental differences between traditional education and massive open online courses (MOOCs), and because of the ever-increasing popularity of the latter, more research is needed to understand current and future trends in MOOCs. Although research in the field has grown rapidly in recent years, one of the main challenges facing…
Descriptors: Learning Analytics, Student Behavior, Online Courses, Large Group Instruction
Direct linkDevedzic, Vladan – International Journal of Artificial Intelligence in Education, 2016
If you ask me "Will Semantic Web 'ever' happen, in general, and specifically in education?", the best answer I can give you is "I don't know," but I know that today we are still far away from the hopes that I had when I wrote my paper "Education and The Semantic Web" (Devedzic 2004) more than 10 years ago. Much of the…
Descriptors: Web 2.0 Technologies, Semantics, Web Based Instruction, Visual Aids
Aghababyan, Ani; Martin, Taylor; Janisiewicz, Philip; Close, Kevin – Journal of Learning Analytics, 2016
Learning analytics is an emerging discipline and, as such, benefits from new tools and methodological approaches. This work reviews and summarizes our workshop on microgenetic data analysis techniques using R, held at the second annual Learning Analytics Summer Institute in Cambridge, Massachusetts, on 30 June 2014. Specifically, this paper…
Descriptors: Educational Research, Data Collection, Data Analysis, Workshops
Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
Hutson, Garrett – Journal of Experiential Education, 2011
A session that has a theme of outcomes of experiential programs in varied contexts is both exciting and pressing. The three studies in Session IV all addressed relevant issues to experiential programming and all the authors were faced with the empirical challenge of demonstrating how and/or if their programs achieve what they say they are going to…
Descriptors: Experiential Learning, Programming, Program Effectiveness, Volunteers
Kirschenbaum, Matthew – Chronicle of Higher Education, 2009
Most users have no more knowledge of what their computer or code is actually doing than most automobile owners have of their carburetor or catalytic converter. Nor is any such knowledge necessarily needed. But for academics, driven by an increasing emphasis on the materiality of new media--that is, the social, cultural, and economic factors…
Descriptors: Influence of Technology, Technology Uses in Education, Computer Science, Educational Research
Lane, Forrest C.; Henson, Robin K. – Online Submission, 2010
Education research rarely lends itself to large scale experimental research and true randomization, leaving the researcher to quasi-experimental designs. The problem with quasi-experimental research is that underlying factors may impact group selection and lead to potentially biased results. One way to minimize the impact of non-randomization is…
Descriptors: Quasiexperimental Design, Research Methodology, Educational Research, Scores
Lynch, Collin; Ashley, Kevin D.; Pinkwart, Niels; Aleven, Vincent – International Journal of Artificial Intelligence in Education, 2009
In this paper we consider prior definitions of the terms "ill-defined domain" and "ill-defined problem". We then present alternate definitions that better support research at the intersection of Artificial Intelligence and Education. In our view both problems and domains are ill-defined when essential concepts, relations, or criteria are un- or…
Descriptors: Definitions, Artificial Intelligence, Problem Solving, Educational Research
Sun, Shanghua; Joy, Mike; Griffiths, Nathan – Journal of Interactive Learning Research, 2007
Adaptive learning and teaching strategies are increasingly demanded in order to improve the efficiency and effectiveness of the education process, but few intelligent education systems exist, which are dynamic and able to satisfy individual students' requirements. In an attempt to overcome these limitations, we have developed a multi-agent…
Descriptors: Teaching Methods, Efficiency, Educational Research, Cognitive Style
Conrad, Frederick G. – Mid-Western Educational Researcher, 2007
Educational researchers and policy makers have come to rely on data from sample surveys. However, survey research on educational issues poses some special challenges. In many respects, the survey methodology issues in educational research are the same as those throughout the social and behavioral sciences. These issues concern obtaining the best…
Descriptors: Educational Research, Research Methodology, Data Collection, Internet
Cumming, Geoff – Australian Educational Computing, 2005
In the first issue of "Australian Educational Computing," in 1986, Cumming and Abbott reported a controlled comparison of top-down and bottom-up teaching strategies for Grade 5 and 6 students' use of a simple logic programming language. They found that both strategies were rated highly by students and teachers, and gave useful learning;…
Descriptors: Programming Languages, Learning Strategies, Computer Uses in Education, Programming
Delozanne, E.; Le Calvez, F.; Merceron, A.; Labat, J. – Journal of Interactive Learning Research, 2007
In this article we present a structured set of Design Patterns (DPs) that deals with tracking students while they solve problem in specific domains such as programming or mathematics. Our collection of 17 DPs yields a three step approach: First step: to collect and analyze information on each student for each exercise; Second step: to build a…
Descriptors: Educational Research, Learning Activities, Problem Solving, Management Systems
Lakkala, Minna; Paavola, Sami; Toikka, Seppo; Bauters, Merja; Markannen, Hannu; de Groot, Reuma; Ben Ami, Zvi; Baurens, Benoit; Jadin, Tanja; Richter, Christoph; Zoserl, Eva; Batatia, Hadj; Paralic, Jan; Babic, Frantisek; Damsa, Crina; Sins, Patrick; Moen, Anne; Norenes, Svein Olav; Bugnon, Alexandra; Karlgren, Klas; Kotzinons, Dimitris – Online Submission, 2008
One of the central goals of the KP-Lab project is to co-design pedagogical methods and technologies for knowledge creation and practice transformation in an integrative and reciprocal manner. In order to facilitate this process user tasks, driving objectives and high-level requirements have been introduced as conceptual tools to mediate between…
Descriptors: Foreign Countries, Programming, Computer System Design, Educational Technology
Delrio, Claudio; Ami, Zvi Ben; de Groot, Reuma; Drachmann, Raul; Ilomaki, Liisa – Online Submission, 2008
The aim of this report is, first of all, to present the KP-Lab approach toward stakeholders in the wider framework of European policies. Secondly, the KP-Lab definition of stakeholders and the strategy to address different stakeholders needs, concerns and expectations is presented in the following paragraphs. The second chapter presents concrete…
Descriptors: Foreign Countries, Evaluation Methods, Stakeholders, Educational Policy
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