Education Commons^™

Year Four Of The Qep: So Close Yet So Far, Kelly Whealan George, Aaron D. Clevenger

Aaron D. Clevenger

Session J: Assessment In Interactive Learning Environments, Michael Timms, Jason Lodge

Dr Michael J Timms

There is an increasing interest in using digital technologies to create interactive learning environments (ILEs) that both teach and assess student skills that are hard or impossible to assess using ‘static’ items such as traditional, multiple-choice questions. These interactive learning environments try to do two things simultaneously: firstly, to monitor the learning of the student in real time, providing feedback to help the student progress through the learning task; and secondly, to use the information gathered during the learning to make judgements about where the student is in learning of the topic. Essentially, ILEs draw upon the same source of …

Learning Assessments: Designing The Future, Geoff N. Masters

Prof Geoff Masters AO

Processes for assessing student learning are undergoing fundamental transformation.This presentation will consider three developments which can be expected to shape how student learning is assessed in the future. First is fundamental change in how assessment is conceptualised and approached, with a focus on monitoring learning. Second is growing interest in the assessment of a broader range of skills and attributes than those addressed in most current assessment efforts. Third is advances in technology which are opening the door to new ways of gathering information about student learning, including through records of real-time interactions in online learning environments. In ACER’s Centre …

Describing State Level Mathematical Growth Using The Student Growth Percentile (Sgp) Methodology, Darin C. Kelberlau

Darin C Kelberlau

The purpose of this study was to describe growth in student mathematics performance at the student and group levels as measured by the statewide mathematics test in Nebraska. Student groupings analyzed for differences in growth patterns were cohorts (elementary and middle school aged students), growth categories, grade levels, gender, ethnicity, students receiving special education (SPED) services, students receiving support services due to English not being their native language (ELL). Building differences were defined by average number of students per grade level (size), levels of student performance, levels of students receiving SPED services, and levels of students receiving ELL services. The …

Using Data To Make Decisions About Student Services, Tonisha B. Lane, Larry D. Long

Larry D. Long

First-generation and low-income students are increasingly matriculating into post-secondary education. Acclimating first-generation and low-income students to higher education presents unique challenges and opportunities to improve institutional support and services. This program will inform participants about how Michigan State University used multiple data sources to assess, intervene, and support students from first-generation and low-income backgrounds involved in the Student Success Initiative. This program adds to the emerging conversation on using data to understand students and make decisions about student services.