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Federica Picasso; Javiera Atenas; Leo Havemann; Anna Serbati – Open Praxis, 2024
The development of critical data and artificial intelligence (AI) literacy has become a key focus in current discussions in Higher Education, thus it is necessary to develop and advance capacity building, reflectiveness and awareness across disciplines to critically address the possibilities and challenges presented by data and AI. In this paper,…
Descriptors: Undergraduate Students, College Faculty, Artificial Intelligence, Data Collection
Corinne Thatcher Day – Mathematics Teacher: Learning and Teaching PK-12, 2025
Since data collection technologies has become a part of daily life, measurement and data requirements now permeate many state mathematics standards, beginning as early as kindergarten and extending through high school. For example, the Standards for Mathematical Content, recommend that kindergarteners "describe and compare measurable…
Descriptors: Middle School Mathematics, Middle School Students, Middle School Teachers, High School Students
Hui, Bowen – International Journal of Information and Learning Technology, 2022
Purpose: The purpose of this work is to illustrate the processes involved in managing teams in order to assist designers and developers to build software that support teamwork. A deeper investigation into the role of team analytics is discussed in this article. Design/methodology/approach: Many researchers over the past several decades studied the…
Descriptors: Design, Guidelines, Research Needs, Teamwork
Gachago, Daniela; Livingston, Candice – Reading & Writing: Journal of the Reading Association of South Africa, 2020
Background: Digital storytelling (DST) has been embraced in classrooms around the world as a way to unpack issues of identity and positionality which are critical for any pedagogy concerned with social justice. However, adopting this process-orientated practice into higher education raises ethical concerns especially in relation to the normative…
Descriptors: Story Telling, Computer Uses in Education, Social Justice, Ethics
Sneider, Cary; Stephenson, Chris; Schafer, Bruce; Flick, Larry – Science Teacher, 2014
A "Framework for K-12 Science Education" identified eight practices as "essential elements of the K-12 science and engineering curriculum" (NRC 2012, p. 49). Most of the practices, such as Developing and Using Models, Planning and Carrying Out Investigations, and Analyzing and Interpreting Data, are well known among science…
Descriptors: High School Students, Secondary School Science, Thinking Skills, Computation
Problem Analysis: Examining the Selection and Evaluation of Data during Problem-Solving Consultation
Newell, Markeda L.; Newell, Terrance S. – Psychology in the Schools, 2011
The purpose of this study was to analyze how school psychologists engaged in problem analysis during problem-solving consultation. Five aspects of the problem analysis process were examined: 1) the types of questions participants asked during problem identification, 2) the types of data participants requested, 3) the frequency of requests for each…
Descriptors: School Psychologists, Identification, Problem Solving, Simulated Environment
Interactive Computer Based Assessment Tasks: How Problem-Solving Process Data Can Inform Instruction
Zoanetti, Nathan – Australasian Journal of Educational Technology, 2010
This article presents key steps in the design and analysis of a computer based problem-solving assessment featuring interactive tasks. The purpose of the assessment is to support targeted instruction for students by diagnosing strengths and weaknesses at different stages of problem-solving. The first focus of this article is the task piloting…
Descriptors: Computer Assisted Testing, Computer Uses in Education, Problem Solving, Evaluation Methods
Ubuz, Behiye – International Journal of Mathematical Education in Science and Technology, 2007
This present study investigated engineering students' conceptions and misconceptions related to derivative, particularly interpreting the graph of a function and constructing its derivative graph. Participants were 147 first year engineering students from four universities enrolled in first year undergraduate calculus courses with or without the…
Descriptors: Misconceptions, Mathematical Concepts, Engineering, Diagnostic Tests
Ozkan, Betul C.; McKenzie, Barbara K. – Online Submission, 2006
This paper explores a new approach to the evaluation of educational technologies by using Eisner's connoisseurship model. This model has two essential features in program evaluation: holistic approach to the analysis and interpretation of data and multiple perspectives in the evaluative tasks (Eisner, 1998). Using Eisner's model, the key…
Descriptors: Program Evaluation, Holistic Approach, Alternative Assessment, Educational Technology
Applebee, Arthur N.; Langer, Judith A. – Center on English Learning & Achievement (NJ3), 2006
This study examined student writing over the past decades. The National Study of Writing Instruction addressed questions through analyses of existing data sets, particularly those from the National Assessment of Educational Progress (NAEP), which include background questions on instructional practices in U.S. middle and high schools. NAEP…
Descriptors: Writing Achievement, Teaching Methods, National Competency Tests, Portfolio Assessment
Sahin, Ismail; Thompson, Ann – Journal of Research on Technology in Education, 2006
The purpose of this research study was to develop a theory-based methodology for exploring instructional computer use by faculty members in one College of Education (COE) and implementing this methodology at an Anatolian university in Turkey. Rogers' (2003) Diffusion of Innovations theory was used as the theoretical framework in the process of…
Descriptors: Foreign Countries, Methods, Faculty Development, Educational Technology
Becker, Jonathan D. – Education Policy Analysis Archives, 2006
Using data from the National Assessment of Educational Progress (NAEP) state assessment and a survey of state-level technology policies, this study examined digital equity in education as a multilevel organizational phenomenon with data from 70,382 students in 3,479 schools and 40 states. Students in rural schools or schools with higher…
Descriptors: Equal Education, Computer Uses in Education, Access to Computers, Information Policy
Creighton, Theodore B. – Corwin Press, 2006
Since the first edition of "Schools and Data", the No Child Left Behind Act has swept the country, and data-based decision making is no longer an option for educators. Today's educational climate makes it imperative for all schools to collect data and use statistical analysis to help create clear goals and recognize strategies for…
Descriptors: Federal Legislation, Program Evaluation, Educational Technology, Decision Making