Math Weaknesses in Survivors of Acute Lymphoblastic Leukemia Compared to Healthy Children

Difficulties in math are the most frequently reported area of academic deficit in survivors of acute lymphoblastic leukemia (ALL) and the most frequent academic complaint among parents of ALL survivors. However, previous studies that included measures of math skills have been limited by the use of only a single measure of math skills, most often a measure of written calculations, without any assessment of math reasoning or math application skills. Further, the nature of these math difficulties has not been adequately investigated. The purpose of this study was to examine the performance of ALL survivors using multiple measures of math skills. Performance was compared to a group of healthy controls matched for age and sex as well as to normative levels. Other measures of neuropsychological function were also administered, and the relationships between these measures and the math measures were explored. Converging evidence for math difficulties in ALL survivors compared to healthy controls and normative levels was found. While ALL survivors generally performed within the average range on measures of math skills, math performance was mostly related to memory function and dominant-hand psychomotor speed. By contrast, math performance of healthy children was mostly related to basic reading skills and visual-motor integration. These findings shed light on the nature of math difficulties in ALL survivors and have implications for intervention.     

Is focusing on unknown items while studying a beneficial long-term strategy?

The amount students learn is influenced by the decisions they make while they study. Prior research shows that when people decide what to study (and what not to), they almost universally prioritise information they do not know over information they do know. We found that focusing on unknown items was beneficial when memory was tested immediately after studying, but not when memory was tested after a delay of one or two weeks. These findings support a model in which studying unknown items causes many items to rise above a recall threshold, which results in a short-term advantage, but also leaves the items vulnerable to forgetting. Studying known items, by contrast, moves items farther above threshold, such that they remain above threshold for longer. These findings have implications for students and teachers who want to maximise long-term learning.     

Proactive and retroactive transfer of middle age adults in a sequential motor learning task

We assessed the effects of aging in the transfer of motor learning in a sequential manual assembly task that is representative for real working conditions. On two different days, young (18–30 years) and middle-aged adults (50–65 years) practiced to build two products that consisted of the same six components but which had to be assembled in a partly different order. Assembly accuracy and movement time during tests, which were performed before and after the practice sessions, were compared to determine proactive and retroactive transfer.     

Learning a Generative Probabilistic Grammar of Experience: A Process‐Level Model of Language Acquisition

We introduce a set of biologically and computationally motivated design choices for modeling the learning of language, or of other types of sequential, hierarchically structured experience and behavior, and describe an implemented system that conforms to these choices and is capable of unsupervised learning from raw natural‐language corpora. Given a stream of linguistic input, our model incrementally learns a grammar that captures its statistical patterns, which can then be used to parse or generate new data. The grammar constructed in this manner takes the form of a directed weighted graph, whose nodes are recursively (hierarchically) defined patterns over the elements of the input stream. We evaluated the model in seventeen experiments, grouped into five studies, which examined, respectively, (a) the generative ability of grammar learned from a corpus of natural language, (b) the characteristics of the learned representation, (c) sequence segmentation and chunking, (d) artificial grammar learning, and (e) certain types of structure dependence. The model's performance largely vindicates our design choices, suggesting that progress in modeling language acquisition can be made on a broad front—ranging from issues of generativity to the replication of human experimental findings—by bringing biological and computational considerations, as well as lessons from prior efforts, to bear on the modeling approach.     

Transformative Learning: A Case for Using Grounded Theory as an Assessment Analytic

Transformative Learning Theory and pedagogies leverage disruptive experiences as catalysts for learning and teaching. By facilitating processes of critical analysis and reflection that challenge assumptions, transformative learning reframes what counts as knowledge and the sources and processes for gaining and producing it. Students develop a broader range of perspectives on and entry points for learning and behavior change engaging cognition, embodiment, aesthetics, emotions, and ethics (see Mezirow 1991 and Figures 1 and 2). The open‐inquiry, multi‐modal nature of transformative learning defies most traditional assessment strategies. This article demonstrates that grounded theory offers the rigorous qualitative analysis needed to document and track transformative learning outcomes in practice. By applying a grounded theory approach to data from over eighty student portfolios across several iterations of a Religion and Ecology course at Emory University, this article demonstrates a successful and replicable assessment of transformative learning pedagogies.     

Evidence for the effectiveness of holistic process goals for learning and performance under pressure

ObjectivesResearch has suggested that holistic process goals might help avoid the effects associated with conscious processing of task relevant information by skilled but anxious athletes. This experiment compared the efficacy of holistic and part process goal strategies for novices using a learning paradigm.DesignLaboratory-based experimental design incorporating practice, retention and transfer phases.MethodTwenty-four males were randomly assigned to a part process goal, holistic process goal or control condition and performed a simulated race-driving task in practice, retention and transfer tests.ResultsAnalyses of variance revealed that performance during practice was similar in all conditions but that the holistic process goal group outperformed the part process goal group at both retention and transfer.ConclusionsCompared to part process goals, holistic process goals result in more effective motor learning and performance that appears to be more robust under pressure.     

Mixing topics while studying does not enhance learning

According to a recent survey, it is common for students to study two topics at the same time using flashcards, and students who do so virtually always keep the topics separate instead of mixing flashcards together (Wissman, Rawson, & Pyc, 2012). We predicted that mixing might be a relatively easy way to increase learning efficiency because mixing increases the spacing between repetitions of a given item, and spacing enhances long-term learning. We compared two conditions: in the mixed condition, participants alternated on each trial between studying anatomy terms and Indonesian translations. In the unmixed condition they studied one topic and then the other. Items were interleaved within item-type in both conditions. Mixing did not have reliable effects when participants studied flashcards in a single day (Experiments 1 and 2) or on two different days (Experiments 3 and 4). Thus, the results seem to disconfirm two sets of beliefs: students’ universal belief that mixing flashcards is undesirable and cognitive psychologists’ belief that doing so should be encouraged.     

Is recitation an effective tool for adult learners?

The effects of recitation on subsequent recall were examined in 4 experiments modeled after those of Gates (1917). Participants underwent a study phase, a recitation phase, and a test phase. During the recitation phase participants were to attempt to recall the previously studied material and then to restudy it when they could not recall any new information. They were encouraged to switch between recalling and restudying. The proportion of the total acquisition time that was spent in recitation was varied. Unlike the classic findings reported by Gates (1917) in schoolchildren, there was no consistent evidence that recitation enhanced learning in these adult learners.     

Consistently modeling the same movement strategy is more important than model skill level in observational learning contexts

The experiment undertaken was designed to elucidate the impact of model skill level on observational learning processes. The task was bimanual circle tracing with a 90° relative phase lead of one hand over the other hand. Observer groups watched videos of either an instruction model, a discovery model, or a skilled model. The instruction and skilled model always performed the task with the same movement strategy, the right-arm traced clockwise and the left-arm counterclockwise around circle templates with the right-arm leading. The discovery model used several movement strategies (tracing-direction/hand-lead) during practice. Observation of the instruction and skilled model provided a significant benefit compared to the discovery model when performing the 90° relative phase pattern in a post-observation test. The observers of the discovery model had significant room for improvement and benefited from post-observation practice of the 90° pattern. The benefit of a model is found in the consistency with which that model uses the same movement strategy, and not within the skill level of the model. It is the consistency in strategy modeled that allows observers to develop an abstract perceptual representation of the task that can be implemented into a coordinated action. Theoretically, the results show that movement strategy information (relative motion direction, hand lead) and relative phase information can be detected through visual perception processes and be successfully mapped to outgoing motor commands within an observational learning context.