Why use learning outcomes in higher education? Exploring the grounds for academic resistance and reclaiming the value of unexpected learning

Learning outcomes are now mandated in higher education courses across Europe. However, their impact on teaching and student learning is both uncertain and an issue for debate. In this paper, we explore (1) what is meant by learning outcomes in diverse contexts and (2) whether policy and practice governing learning outcomes accord with developments in learning theories, especially regarding sociocultural approaches that have drawn significant interest since the 1990s (Engeström 1987; Lave and Wenger 1991). Shepard’s (Educational Researcher, 29(7), 4–14, 2000) publication is particularly salient to our examination due to her identification of an emerging paradigm to assist in the understanding of the relationships among teaching, learning and assessment. Employing recent work on conceptualisations of learning outcomes and a four-quadrant taxonomy (Prøitz in Educational Assessment, Evaluation and Accountability, 22(2), 119–137, 2010, 2014), we discuss relevant learning theory approaches. This article is a conceptual investigation exploring the grounds for the assumption that learning can be predefined in terms of (expected) outcomes. Specifically, we discuss this assumption from the perspective of recent developments in learning theories. We argue that introducing learning outcomes predominantly for policy and management purposes may actually weaken the learning outcomes’ potential to direct teaching and learning and to improve the quality of both.     

From role models to nations in need of advice: Norway and Sweden under the OECD’s magnifying glass

By analysing five separate OECD reviews of evaluation and assessment practices with Norway and Sweden as cases, our study illustrates different ways in which a specific international educational reasoning is blended into more context-based national education policies and, as such, works in parallel with internal reforms and agendas. It is evident that an overarching narrative promotes the importance of coherent and integrated systems of evaluation and assessment in order to strengthen social and political endeavours for equity, quality and achievements. The parallel mix of OECD discourses and national discourses creates a combined narrative in which evaluations and assessments appear natural, self-evident and rational as well as highly adaptable to national settings. The study shows that national vertical and/or horizontal developments are intertwined with the OECD policy recommendations, which are quite general in character. In a continuing process of uploading and downloading, within different contexts, policies are elaborated and recontextualised. Evaluations and assessments are part of a contemporary rational paradigm for mapping and promoting performance in national educational systems – what we identify as a comparative curriculum code.     

How do young people choose college majors?

Previous studies on the determinants of the choice of college major have assumed a constant probability of success across majors or a constant earnings stream across majors. Our model disregards these two restrictive assumptions in computing an idiosyncratic expected earnings variable to explain the probability that a student will choose a specific major among four choices of concentrations. The construction of an expected earnings variable requires information on the student's perceived probability of success, the predicted earnings of graduates in all majors and the student's expected earnings if he (she) fails to complete a college program. Using data from the National Longitudinal Survey of Youth, we evaluate the chances of success in all majors for all the individuals in the sample. Second, the individuals' predicted earnings of graduates in all majors are obtained using Rumberger and Thomas's [Econ. Educ. Rev. 12 (1993) 1] regression estimates from a 1987 Survey of Recent College Graduates. Third, we obtain idiosyncratic estimates of earnings alternative of not attending college or by dropping out with a condition derived from our college major decision-making model applied to our sample of college students. Finally, with a mixed multinomial logit and probit models and an heteroscedastic extreme value model, we explain the individuals' choice of a major. The results of the paper show that the expected earnings variable is essential in the choice of a college major. There are, however, significant differences in the impact of expected earnings by gender and race.     

Enhancing Digital Simulated Laboratory Assessments: a Test of Pre-Laboratory Activities with the Learning Error and Formative Feedback Model

Digitally simulated laboratory assessments (DSLAs) may be used to measure competencies such as problem solving and scientific inquiry because they provide an environment that allows the process of learning to be captured. These assessments provide many benefits that are superior to traditional hands-on laboratory tasks; as such, it is important to investigate different ways to maximize the potential of DSLAs in increasing student learning. This study investigated two enhancements—a pre-laboratory activity (PLA) and a learning error intervention (LEI)—that are hypothesized to enhance the use of DSLAs as an educational tool. The results indicate students who were administered the PLA reported statistically lower levels of test anxiety when compared to their peers who did not receive the activity. Furthermore, students who received the LEI scored statistically higher scores on the more difficult problems administered during and after the DSLA. These findings provide preliminary evidence that both a PLA and LEI may be beneficial in improving students’ performance on a DSLA. Understanding the benefits of these enhancements may help educators better utilize DSLAs in the classroom to improve student science achievement.

     

Defining and Evaluating Models of Cognition Used in Educational Measurement to Make Inferences About Examinees' Thinking Processes

The purpose of this paper is to define and evaluate the categories of cognitive models underlying at least three types of educational tests. We argue that while all educational tests may be based—explicitly or implicitly—on a cognitive model, the categories of cognitive models underlying tests often range in their development and in the psychological evidence gathered to support their value. For researchers and practitioners, awareness of different cognitive models may facilitate the evaluation of educational measures for the purpose of generating diagnostic inferences, especially about examinees' thinking processes, including misconceptions, strengths, and/or abilities. We think a discussion of the types of cognitive models underlying educational measures is useful not only for taxonomic ends, but also for becoming increasingly aware of evidentiary claims in educational assessment and for promoting the explicit identification of cognitive models in test development. We begin our discussion by defining the term cognitive model in educational measurement. Next, we review and evaluate three categories of cognitive models that have been identified for educational testing purposes using examples from the literature. Finally, we highlight the practical implications of "blending" models for the purpose of improving educational measures .     

Influence of recovery intensity on time spent at maximal oxygen uptake during an intermittent session in young,endurance-trained athletes

Abstract

In this study, we examined the effects of three recovery intensities on time spent at a high percentage of maximal oxygen uptake (t90[Vdot]O_2max) during a short intermittent session. Eight endurance-trained male adolescents (16 ± 1 years) performed four field tests until exhaustion: a graded test to determine maximal oxygen uptake ([Vdot]O_2max; 57.4 ± 6.1 ml · min^?1 · kg^?1) and maximal aerobic velocity (17.9 ± 0.4 km · h^?1), and three intermittent exercises consisting of repeat 30-s runs at 105% of maximal aerobic velocity alternating with 30 s active recovery at 50% (IE₅₀), 67% (IE₆₇), and 84% (IE₈₄) of maximal aerobic velocity. In absolute values, mean t90[Vdot]O_2max was not significantly different between IE₅₀ and IE₆₇, but both values were significantly longer compared with IE₈₄. When expressed in relative values (as a percentage of time to exhaustion), mean t90[Vdot]O_2max was significantly higher during IE₆₇ than during IE₅₀. Our results show that both 50% and 67% of maximal aerobic velocity of active recovery induced extensive solicitation of the cardiorespiratory system. Our results suggest that the choice of recovery intensity depends on the exercise objective.     

Treating children's aggressive behavior problems using cognitive behavior therapy with virtual reality: A multicenter randomized controlled trial

This multicenter randomized controlled trial investigated whether interactive virtual reality enhanced effectiveness of Cognitive Behavioral Therapy (CBT) to reduce children's aggressive behavior problems. Boys with aggressive behavior problems (N = 115; M_age = 10.58, SD = 1.48; 95.7% born in Netherlands) were randomized into three groups: CBT with virtual reality, CBT with roleplays, or care-as-usual. Bayesian analyses showed that CBT with virtual reality more likely reduced aggressive behavior compared to care-as-usual for six of seven outcomes (ds 0.19–0.95), and compared to CBT with roleplays for four outcomes (ds 0.14–0.68). Moreover, compared to roleplays, virtual reality more likely enhanced children's emotional engagement, practice immersion, and treatment appreciation. Thus, virtual reality may be a promising tool to enhance CBT effectiveness for children with aggressive behavior problems.     

Daily fluctuations in young children’s persistence

Children's behavior changes from day to day, but the factors that contribute to its variability are understudied. We developed a novel repeated measures paradigm to study children's persistence by capitalizing on a task that children complete every day: toothbrushing (N = 81; 48% female; 36–47 months; 80% white, 14% Multiracial, 10% Hispanic, 2% Asian, 1% Black; 1195 observations collected between January 2019 and March 2020). Children brushed longer on days when their parents used more praise (d = .23) and less instruction (d = −.22). Sensitivity to mood, sleep, and parent stress varied across children, suggesting that identifying the factors that shape an individual child's persistence could lead to personalized interventions.     

Australian social work academics’ perceptions of their teaching roles within higher education

The marketisation of higher education (HE) has created a number of tensions and ideological dilemmas that may influence how academics see their roles and teaching practices. This paper explores how academics in the discipline of social work (who were also in leadership roles) perceive their roles and identities and manage the tensions and dilemmas that arise for them as teachers in the current HE environment. Unless the tensions and dilemmas are articulated, it is not possible to understand and manage their impact on academics. This may lead to the loss of quality learning experiences for students and lower workplace satisfaction. This paper addresses the research question: were there ideological dilemmas experienced by social work academics in the current environment and if so, what subject positions did they adopt in response to these? A discursive psychology approach was used to answer this question. Data showed a range of ideological dilemmas represented by each of the different subject positions adopted. The paper concludes with questions for readers to consider, generating ideas for transferring understanding of these ideological dilemmas into positive action within the workplace.