With the expeditious advancement of information technologies, health-related data presented unprecedented potentials for medical and health discoveries but at the same time significant challenges for machine learning techniques both in terms of size and complexity. Those challenges include: the structured data with various storage formats and…

There is an urgent need to develop an evidence-based framework for learning analytics whereby stakeholders can manage, evaluate, and make decisions about which types of interventions work well and under which conditions. In this article, we will work towards developing a foundation of an Analytics4Action Evaluation Framework (A4AEF) that is…

My research problem is based on the lack of unifying conceptual cohesion between the discourses concerning cognitive and instructional aspects of learning environments (LE). I contrast that lack with practical developments of LE studies connected at the level of practical implementation and evaluation. Next, I briefly review the LE boundaries,…

Collaborative Evaluation systematically invites and engages stakeholders in program evaluation planning and implementation. Unlike "distanced" evaluation approaches, which reject stakeholder participation as evaluation team members, Collaborative Evaluation assumes that active, on-going engagement between evaluators and program staff,…

The judgement processes underpinning examination marking are central to achieving fair assessment but are under-researched. This article draws on existing literature and uses additional analysis of data collected in a previous article "Exploring the nature of examiner thinking during the process of examination marking", to start to piece together…

After studying phenomena related to the positions and motions of the Earth, Sun, and Moon, many students are familiar with the positional ordering of the planets, but their knowledge of the distances involved is vague. Scale models are one means of bringing extreme sizes into better focus, cutting them down to relative values that they can better…

A concern exists that mixed methods studies do not contain advocacy stances. Preliminary evidence suggests that this is not the case, but to address this issue in more depth the authors examined 13 mixed methods studies that contained an advocacy, transformative lens. Such a lens consisted of incorporating intent to advocate for an improvement in…

This article is the fourth in a series of articles describing an attrition prediction and intervention project at the University of South Florida (USF) in Tampa. In this article, the researchers describe the updated version of the prediction model. The original model was developed from a sample of about 900 First Time in College (FTIC) students…

Response to Intervention, or RTI, is a framework for using data to establish the nature and degree of the help a student needs, and then applying strategies targeting those areas. It is a carefully drawn, systematic form of data-driven decision-making that establishes multiple stages of interventions for varying degrees of problems. Though some…

This study tests a process model of learning in which trainer and trainee traits are simultaneously considered as endogenous variables of learning outcomes. The article builds on a social view of training and similarity-attraction paradigms. In this context, the authors hypothesize that trainer-trainee similarity in personality (agreeableness)…

The objective of this research is to provide an outline of evaluation by objectives for a conference entitled Project Evaluation. As far as processes are concerned, this evaluation will result in a session-by-session evaluation form and transparencies to accompany the session-by-session evaluation form and to reinforce the main points under…

Describes a curriculum evaluation model that includes a focus of evaluation and the method of evaluation. Identifies three distinct modes of evaluation: unstructured subjective observation, semi-structured consensus of opinion, and structured objective observation. Outlines the role played by curriculum evaluation in science education today. (GS)

Inferences made in integrative research reviews are as important to the validity of behavioral science knowledge as are those in primary research. The research review is conceptualized as a scientific inquiry involving five stages paralleling those of primary research. Problem formulation is the stage when variables are defined conceptually and…

This article briefly reviews key issues in adolescent suicide risk assessment and proposes that assessing risk and protective factors in combination has the best probability of informing the field's understanding of this complex problem. Several newer measures are described along with summaries of their psychometric properties. A recommended…

Some of the requirements and consequences of rigorous and valid educational evaluation research are explored in terms of problems in achieving two types of external validity, population and ecological. The former refers to the generalizability of inferences to subjects not included in a study, while the latter is concerned with the…