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Showing 1 to 15 of 16 results Save | Export
Jacqueline M. Nowicki; Sarah Kaczmarek; A. Nicole Clowers – US Government Accountability Office, 2024
The early elementary school years are widely understood to be critical to a child developing a strong foundation for future academic success. Children arrive at kindergarten from diverse settings and experiences, and not all of them are "kindergarten ready." Kindergarten readiness refers to the skills and abilities needed to succeed in…
Descriptors: Elementary Secondary Education, Kindergarten, Young Children, School Readiness
Mandel, Travis Scott – ProQuest LLC, 2017
When a new student comes to play an educational game, how can we determine what content to give them such that they learn as much as possible? When a frustrated customer calls in to a helpline, how can we determine what to say to best assist them? When an ill patient comes in to the clinic, how do we determine what tests to run and treatments to…
Descriptors: Reinforcement, Learning Processes, Student Evaluation, Data Collection
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Alonzo, Alicia C.; Elby, Andrew – Cognition and Instruction, 2019
As scientific models of student thinking, learning progressions (LPs) have been evaluated in terms of one important, but limited, criterion: fit to empirical data. We argue that LPs are not empirically adequate, largely because they rely on problematic assumptions of theory-like coherence in students' thinking. Through an empirical investigation…
Descriptors: Science Teachers, Physics, Models, Learning Processes
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Hack, Catherine – British Journal of Educational Technology, 2015
The use of rubrics for grading and feedback in higher education has increased in response to requirements for consistency and transparency across a diverse range of assessment tasks. There is a growing evidence base demonstrating the reliability of rubrics across different markers and instances. The number of studies describing the impact of…
Descriptors: Scoring Rubrics, Higher Education, Grading, Feedback (Response)
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Ren, Zhiyun; Rangwala, Huzefa; Johri, Aditya – International Educational Data Mining Society, 2016
The past few years has seen the rapid growth of data mining approaches for the analysis of data obtained from Massive Open Online Courses (MOOCs). The objectives of this study are to develop approaches to predict the scores a student may achieve on a given grade-related assessment based on information, considered as prior performance or prior…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Hollingsworth, Hilary; Heard, Jonathan; Weldon, Paul R. – Australian Council for Educational Research, 2019
Each year teachers and principals in schools across Australia invest much time and effort, and considerable expense, in activities related to communicating student learning progress. However little is known about the effectiveness of these activities, including the extent to which they are valued by stakeholders, whether they are considered to…
Descriptors: Learning Processes, Academic Achievement, Program Descriptions, Data Collection
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Baker, Ryan S.; Corbett, Albert T. – Research & Practice in Assessment, 2014
Many university leaders and faculty have the goal of promoting learning that connects across domains and prepares students with skills for their whole lives. However, as assessment emerges in higher education, many assessments focus on knowledge and skills that are specific to a single domain. Reworking assessment in higher education to focus on…
Descriptors: Educational Assessment, Data Collection, Information Retrieval, Learning Processes
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Tasci, Guntay – Educational Sciences: Theory and Practice, 2015
This study aims to analyze the process under which biology lessons are taught in terms of teaching quality criteria (TQC). Teaching quality is defined as the properties of efficient teaching and is considered to be the criteria used to measure teaching quality both in general and specific to a field. The data were collected through classroom…
Descriptors: Science Instruction, Biology, Teacher Effectiveness, Instructional Effectiveness
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Persico, Donatella; Pozzi, Francesca; Sarti, Luigi – Distance Education, 2010
Monitoring the learning process in computer supported collaborative learning (CSCL) environments is a key element for supporting the efficacy of tutor actions. This article proposes an approach for analysing learning processes in a CSCL environment to support tutors in their monitoring tasks. The approach entails tracking the interactions within…
Descriptors: Cues, Learning Activities, Learning Strategies, Learning Processes
Wight, Albert R.; Doxsey, James R. – 1972
General concerns and considerations regarding measurement in affective education, primarily, measurement to support the student in his learning program and the teacher as a facilitator of learning, are explored. The following topics are discussed: (1) Accountability (of the schools for achievement of affective goals of education), (2) Purpose of…
Descriptors: Affective Objectives, Data Collection, Learning Processes, Measurement Instruments
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Bachor, Dan G.; And Others – Alberta Journal of Educational Research, 1994
Criteria to guide classroom assessment practice are determine the extent to which assessment practices are based on tasks and activities that are representative of instructional intention and translate into specific information collection, interpretation, evaluation, and reporting procedures; address the accuracy of the assessment; and consider…
Descriptors: Academic Achievement, Classroom Observation Techniques, Data Collection, Educational Objectives
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James, Mary; Pedder, David – Curriculum Journal, 2006
This article reports the findings of a survey of 558 teachers in England. It describes how conceptual and empirical insights from the literature informed the construction of questionnaire items to provide answers to questions about the way in which teachers value different classroom assessment practices and how congruent with these values they…
Descriptors: Foreign Countries, Teaching Methods, Values, Teacher Surveys
Block, James H. – 1972
When the task of evaluating student learning is carefully considered, two major problems emerge. One is the gathering of the most appropriate and precise evidence possible about the learning. The other is the setting of performance standards against which this evidence may be weighed and the adequacy of each student's learning judged. This paper…
Descriptors: Academic Achievement, Cognitive Processes, Data Collection, Evaluation Methods
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
Palfreeman, Annabel, Ed. – 1996
These proceedings contain the following papers: "Linking Industry Training with Language and Literacy" (Cassandra Parkinson); "Numeracy: Essential and a Priority? An ANT's (Adult Numeracy Teacher's) Journey" (Dave Tout); "Teaching, Learning and Assessment: An Essential Symbiosis" (David Clarke); "The Politics of…
Descriptors: Adult Basic Education, Adult Educators, Adult Literacy, Coordination
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