In this chapter, we explore the obligations for individuals and institutions that emerge from the newfound insights that are enabled through learning analytics. While ethical concerns are raised through learning analytics, a misplaced trend is a "do nothing" approach as a way to assure we "do no harm." We suggest that this is a…

This study compared the quality of survey data collected from Mechanical Turk (MTurk) workers and college students. Three groups of participants completed the same survey. "MTurk" respondents completed the survey as paid workers using the Mechanical Turk crowdsourcing platform. "Student Online" respondents also completed the…

Reporting requirements for capturing data on the delivery of Supplemental Nutrition Assistance Program Education (SNAP-Ed) have evolved. University of Minnesota (U of M) Extension developed the SNAP Education Evaluation and Database System (SEEDS) to capture unduplicated participant information for SNAP-Ed programming conducted by U of M Extension…

Past research indicates that individuals respond adaptively to contextual factors in multiattribute choice tasks. Yet it remains unclear how this adaptation is cognitively governed. In this article, empirically testable implementations of two prominent competing theoretical frameworks are developed and compared across two multiattribute choice…

Research indicates that data-informed practice helps teachers change their teaching and promotes teacher professional development (TPD). Although educational data are often collected from digital spaces, in-action evidence from physical spaces is seldom gathered, providing an incomplete view of the classroom reality. Also, most learning analytics…

Background: We conducted a rapid scoping review to identify how inclusive research teams use technology during the research process that could support remote collaboration during public health emergencies like the COVID-19 pandemic. Method: We searched three databases and conducted a hand search. Two independent reviewers screened 1498 abstracts…

The aim of this study is the postgraduate thesis studies in the field of social studies education in Turkey between 2015 and 2021; to examine according to descriptive, methodological and subject distributions. Document analysis technique, which is one of the qualitative research designs, was used in the research. The main data source of the…

With the increasing presence of 'datafied' educational settings across Australia, critical components of teachers' educational practice and work have been quantified. Digital data collected through teachers' labour in and around the classroom links to educational practice and the commercial datafication of teachers' online persona. Often described…

Science education focuses on the methods of thinking about and using process skills rather than memorizing scientific facts. 5E educational model aims to learn by discovering scientific knowledge and engaging students in learning environments. The aim of this study was to examine the articles in the field of education related to the 5E educational…

Using multimodal data fusion techniques, we built and tested prediction models to track middle-school student distress states during educational gameplay. We collected and analyzed 1,145 data instances, sampled from a total of 31 middle-school students' audio- and video-recorded gameplay sessions. We conducted data wrangling with student gameplay…

This article focuses on an investigation of English as a Foreign Language (EFL) teacher (de)motivation in Spain which underwent a methodological transformation from mixed methods to a qualitative approach. Unexpected statistical results from the questionnaire in the piloting phase led to the creation of interview prompts, a dynamic data collection…

COVID-19 has changed the way research can be conducted. The present literature review, based on 29 studies (2008-2020), investigates and compiles existing research to identify possibilities and limitations of using digital interviews within social work, sociology and adjacent disciplines. The results show that digital interviews can enhance…

Utilizing effective data collection methods to track student progress on Individual Education Program (IEP) goals is essential to quality programming and meeting each student's specific needs. This study surveyed special education teachers in four midwestern states to understand IEP data collection methods and assessment training. Results…

The use of unmanned aerial vehicles (UAVs) has increased in the science, technology, engineering, and mathematics (STEM) professions. This means there is a growing need to integrate UAV training into STEM education. This study aimed to develop and evaluate a UAV education module and laboratory exercise for natural resource science students. The…

Introduction: Electronic Bluetooth scales (e-scales) may be useful for remote weight assessment. This study analyzed predictors of engagement with e-scales and feasibility for remote weight assessment. Method: Due to COVID-19 restrictions, participants (n = 150, 100% African American, 79% female, average age 48.2 ± 10.6 years) in an ongoing trial…