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Minna Kyttälä; Piia Maria Björn; Milla Rantamäki; Sami Lehesvuori; Vesa Närhi; Mikko Aro; Marja-Kristiina Lerkkanen – European Journal of Teacher Education, 2024
The aim of this quantitative survey study (N = 287) was to investigate the assessment conceptions of three different pre-service teacher groups (classroom teachers, subject teachers and special needs teachers). Assessment conceptions were best described by the following three main factors: 1) assessment of learning, 2) assessment for teaching and…
Descriptors: Foreign Countries, Preservice Teachers, Student Attitudes, Student Evaluation
Kyttälä, Minna; Maria Björn, Piia; Rantamäki, Milla; Närhi, Vesa; Aro, Mikko – European Journal of Special Needs Education, 2023
This survey study (N = 148) investigates the interrelationships between assessment conceptions, assessment self-efficacy, prior education, and teaching experience amongst Finnish pre-service special educational needs teachers (pre-service SENs). The results showed that assessment conceptions and assessment self-efficacy are intertwined. Assessment…
Descriptors: Preservice Teachers, Special Education Teachers, Student Attitudes, Self Efficacy
Heinonen, Annemari; Tuomainen, Satu – Language Learning in Higher Education, 2020
The processes to assess students' learning acquired in various non-formal and informal learning environments have become increasingly common in Finnish university language centres in recent years. This paper describes new developments at the University of Eastern Finland to assess students' non-formal and informal learning of English for Academic…
Descriptors: Learning Processes, Prior Learning, Foreign Countries, Laboratories
Pilkinton-Pihko, Diane; Suviniitty, Jaana; Kauppinen, Tomi – Language Learning in Higher Education, 2019
Living in learning societies encourages learning outside the classroom. Alongside this reality, higher education institutions have been incorporating policies and procedures that support recognition of prior learning (RPL). This development means establishing adequate RPL assessment practices. Our empirical study at the Aalto University Language…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Prior Learning
Károly, Adrienn – Research-publishing.net, 2015
With an increasing emphasis on measuring the outcomes of learning in higher education, assessment is gaining an ever more prominent role in curriculum design and development as well as in instructional practices. In formative assessment, feedback is regarded as a powerful pedagogical tool driving student engagement and deep learning. The efficacy…
Descriptors: Feedback (Response), Student Experience, Preferences, Formative Evaluation
Clarkeburn, Henriikka; Kettula, Kirsi – Teaching in Higher Education, 2012
This study looks at the fairness of assessing learning journals both as the fairness in creating a valid and robust marking process as well as how different student groups may have unfair disadvantages in performing well in reflective assessment tasks. The fairness of a marking process is discussed through reflecting on the practical process and…
Descriptors: Student Evaluation, Reflection, Summative Evaluation, Formative Evaluation
Hailikari, Telle; Nevgi, Anne; Lindblom-Ylanne, Sari – Studies in Educational Evaluation, 2007
This study investigates how different types of prior knowledge influence student achievement and how different assessment measures influence the observed effect of prior knowledge. We introduce a model of prior knowledge that distinguishes between different types of prior knowledge and uses different assessment measures to assess different types…
Descriptors: Program Effectiveness, Prior Learning, Academic Achievement, Case Studies
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