In two independent experiments, we (a) examined aspects of academic demands associated with the problem behaviors of two elementary students with behavioral disorders and (b) investigated the effects of academic interventions to decrease problem behaviors and increase task engagement. Preliminary functional behavior assessment data suggested each student participant's problem behaviors functioned to escape/avoid academic demands, and experimental structural analyses performed in naturalistic settings confirmed relations between their problem behaviors and specific features of academic tasks. Antecedent-based interventions were developed for each student and separate single-case alternating treatment experiments indicated functional relations between the academic interventions and appropriate task engagement. Findings support the use of structural analyses to inform academic planning and improve the behaviors of students who exhibit escape-maintained problem behaviors associated with academic tasks.

Download full-text PDF

Source
http://dx.doi.org/10.1177/0145445514566505DOI Listing

Publication Analysis

Top Keywords

problem behaviors
24
academic demands
12
behaviors students
8
students behavioral
8
behavioral disorders
8
academic interventions
8
task engagement
8
structural analyses
8
academic tasks
8
behaviors
7

Similar Publications

Prostate-specific antigen testing in the United States during 2008-2022 in relation to the US preventive services task force recommendations.

Sci Rep

December 2024

Department of Public Health, College of Life Sciences, Brigham Young University, 2063 Life Sciences Building, Provo, UT, 84602, USA.

The prevalence of prostate-specific antigen (PSA) testing has consistently fallen for several years. This study explored how the decreasing trend differs by selected variables and reasons for taking the PSA test. Analyses involved men, aged 40 years or older, who completed the Behavior Risk Factor Surveillance System (BRFSS) survey in even number years from 2008 through 2022.

View Article and Find Full Text PDF

Energy efficiency plays a major role in sustaining lifespan and stability of the network, being one of most critical factors in wireless sensor networks (WSNs). To overcome the problem of energy depletion in WSN, this paper proposes a new Energy Efficient Clustering Scheme named African Vulture Optimization Algorithm based EECS (AVOACS) using AVOA. The proposed AVOACS method improves clustering by including four critical terms: communication mode decider, distance of sink and nodes, residual energy and intra-cluster distance.

View Article and Find Full Text PDF

Chimp optimization algorithm (CHOA) is a recently developed nature-inspired technique that mimics the swarm intelligence of chimpanzee colonies. However, the original CHOA suffers from slow convergence and a tendency to reach local optima when dealing with multidimensional problems. To address these limitations, we propose TASR-CHOA, a twofold adaptive stochastic reinforced variant.

View Article and Find Full Text PDF

An improved practical Byzantine fault tolerance algorithm for aggregating node preferences.

Sci Rep

December 2024

School of Information Engineering, Yangzhou University, Yangzhou, Jiangsu, China.

Consensus algorithms play a critical role in maintaining the consistency of blockchain data, directly affecting the system's security and stability, and are used to determine the binary consensus of whether proposals are correct. With the development of blockchain-related technologies, social choice issues such as Bitcoin scaling and main chain forks, as well as the proliferation of decentralized autonomous organization (DAO) applications based on blockchain technology, require consensus algorithms to reach consensus on a specific proposal among multiple proposals based on node preferences, thereby addressing the multi-value consensus problem. However, existing consensus algorithms, including Practical Byzantine Fault Tolerance (PBFT), do not support nodes expressing preferences.

View Article and Find Full Text PDF

Microplastics (MPs) are ubiquitous and are increasing globally, but there is limited information available on their presence in freshwater ecosystems. This research work aims to investigate the abundance, sinking behavior, and risk assessment of MPs in the freshwater River Basantar, Jammu & Kashmir, India. Microplastic abundance in sediments was recorded in the range of 1-6 items g, with a mean abundance of 3 ± 1.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!