Embracing School Counselors’ Situatedness: Data-Based Decision Making as Fulfillment of a Complex Identity

2021 ◽  
Vol 24 (1_part_3) ◽  
pp. 2156759X2110119
Author(s):  
Brett Zyromski ◽  
Catherine Griffith ◽  
Jihyeon Choi
Keyword(s):  
Decision Making ◽  
School Counselors ◽  
School Counselor ◽  
Use Of Data ◽  
Counselor Identity ◽  
Using Data ◽  
Definition Of ◽  
Support Students ◽  
Students Success ◽  
Data Based Decision Making

Since at least the 1930s, school counselors have used data to inform school counseling programming. However, the evolving complexity of school counselors’ identity calls for an updated understanding of the use of data. We offer an expanded definition of data-based decision making that reflects the purpose of using data in educational settings and an appreciation of the complexity of the school counselor identity. We discuss implications for applying the data-based decision-making process using a multifaceted school counselor identity lens to support students’ success.

scholarly journals Using Evidence-Based Practice and Data-Based Decision Making in Inclusive Education

2021 ◽  
Vol 11 (3) ◽  
pp. 129
Author(s):  
Gabrielle Wilcox ◽  
Cristina Fernandez Conde ◽  
Amy Kowbel
Keyword(s):  
Decision Making ◽  
Inclusive Education ◽  
Evidence Based ◽  
Teacher Capacity ◽  
Evidence Based Practices ◽  
Full Inclusion ◽  
Current State ◽  
Inclusive Settings ◽  
Using Data ◽  
Data Based Decision Making

There are longstanding calls for inclusive education for all regardless of student need or teacher capacity to meet those needs. Unfortunately, there are little empirical data to support full inclusion for all students and even less information on the role of data-based decision making in inclusive education specifically, even though there is extensive research on the effectiveness of data-based decision making. In this article, we reviewed what data-based decision making is and its role in education, the current state of evidence related to inclusive education, and how data-based decision making can be used to support decisions for students with reading disabilities and those with intellectual disabilities transitioning to adulthood. What is known about evidence-based practices in supporting reading and transition are reviewed in relationship to the realities of implementing these practices in inclusive education settings. Finally, implications for using data-based decisions in inclusive settings are discussed.

scholarly journals Analysis of Decision Making Process in Moneyball: The Art of Winning an Unfair Game

The Winners ◽  
2015 ◽  
Vol 16 (1) ◽  
pp. 57
Author(s):  
Mochamad Sandy Triady ◽  
Ami Fitri Utami
Keyword(s):  
Decision Making ◽  
Excellent Result ◽  
Data Driven ◽  
Decision Making Process ◽  
Data Driven Decision Making ◽  
General Manager ◽  
Use Of Data ◽  
Bottom Position ◽  
Using Data ◽  
Baseball Team

Billy Beanes’s success in using data-driven decision making in baseball industry is wonderfully written by Michael Lewis in Moneyball. As a general manager in baseball team that were in the bottom position of the league from the financial side to acquire the players, Beane, along with his partner, explored the use of data in choosing the team’s player. They figured out how to determine the worth of every player.The process was not smooth, due to the condition of baseball industry that was not common with using advanced statistic in acquiring   players. Many teams still use the old paradigm that rely on experts’ judgments, intuition, or experience in decision making process. Moneyball approached that using data-driven decision making gave excellent result for Beane’s team. The team won 20 gamessequently in the 2002 season and also spent the lowest cost per win than other teams.This paper attempts to review the principles of Moneyball – The Art of Winning an Unfair Game as a process of decision making and gives what we can learn from the story in order to win the games, the unfair games.

School-Family-Community Partnerships: Applying Epstein's Theory of the Six Types of Involvement to School Counselor Practice

2010 ◽  
Vol 13 (4) ◽  
pp. 2156759X1001300
Author(s):  
Dana Griffin ◽  
Sam Steen
Keyword(s):  
Decision Making ◽  
School Counselors ◽  
Community Involvement ◽  
School Counselor ◽  
Community Partnerships ◽  
Future Research ◽  
Community Interactions ◽  
Learning At Home ◽  
At Home

This article investigates school counselor involvement in partnerships using Epstein's six types of school-family-community involvement interactions (i.e., parenting, communicating, volunteering, learning at home, decision-making, and collaborating with the community). Findings show more involvement in parenting and collaborating with the community interactions and reveal a new partnership interaction practiced by school counselors. Recommendations for school counselors and areas for future research are discussed.

Data-Based Decision-Making

2020 ◽  
Author(s):  
Mark Carter ◽  
Jennifer Stephenson ◽  
Sarah Carlon
Keyword(s):  
Decision Making ◽  
Special Education ◽  
Student Outcomes ◽  
Policy And Practice ◽  
Positive Effects ◽  
Use Of Data ◽  
Wide Range ◽  
Meta Analyses ◽  
Classroom Use ◽  
Data Based Decision Making

The term data-based decision-making can refer to a wide range of practices from formative classroom use of monitoring in order to improve instruction to system-wide use of “big” data to guide educational policy. Within the context of special education, a primary focus has been on the formative classroom use of data to guide teachers in improving instruction for individual students. For teachers, this typically involves the capacity to (1) determine what data need to be collected to appropriately monitor the skill being taught, (2) collect that data, (3) interpret the data and make appropriate decisions, and (4) implement changes as needed. A number of approaches to such data-based decision-making have evolved, including precision teaching, curriculum-based assessment, and curriculum-based measurement. Evidence from systematic reviews and meta-analyses indicates instruction incorporating data-based decision-making has positive effects on outcomes for students with special education needs although the size of these effects has been variable. While the extent of the research base is modest, there are indications that some specific factors may be related to this variability. For example, the use of decision-making rules and graphic display of data appears to improve student outcomes and the frequency of data collection may differentially affect improvement. The presence and frequency of support offered to teachers may also be important to student outcomes. There is a need to increase our research base examining data-based decision-making and, more specifically, a need to more clearly define and characterize moderators that contribute to its effectiveness. In addition, there is a case for research on the wider use of data on student outcomes to inform broader policy and practice.

Improving the use of analytics and big data by changing the decision-making culture

2017 ◽  
Vol 55 (10) ◽  
pp. 2074-2088 ◽  
Author(s):  
Jane Elisabeth Frisk ◽  
Frank Bannister
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Data Analytics ◽  
Design Approach ◽  
Action Research Project ◽  
Content Type ◽  
Use Of Data ◽  
Support Organizations ◽  
Novel Approach ◽  
Using Data

Purpose Evolving digital technologies continue to enable new ways to collect and analyze data and this has led some researchers to claim that skillful use of data analytics and big data can radically improve a company’s performance, but that in order to achieve such improvements managers need to change their decision-making culture and to increase the degree of collaboration in the decision-making process. The purpose of this paper is to create an increased understanding of how a decision-making culture can be changed by using a design approach. Design/methodology/approach The paper presents an action research project in which the authors use a design approach. Findings By adopting a design approach organizations can change their decision-making culture, increase the degree of collaboration and also reduce the influence of power and politics on their decision-making. Research limitations/implications This paper proposes a new approach to changing a decision-making culture. Practical implications Using data analytics and big data, a design approach can support organizations change their decision-making culture resulting in better and more effective decisions. Originality/value This paper bridges design and decision-making theory in a novel approach to an old problem.

Improving Child Outcomes With Data-Based Decision Making: Interpreting and Using Data

2009 ◽  
Vol 13 (1) ◽  
pp. 2-18 ◽  
Author(s):  
Karen L. Gischlar ◽  
Robin L. Hojnoski ◽  
Kristen N. Missall
Keyword(s):  
Decision Making ◽  
Child Outcomes ◽  
Using Data ◽  
Data Based Decision Making

scholarly journals Data-driven decision-making in creating class rosters

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rebecca Wolf ◽  
Joseph M. Reilly ◽  
Steven M. Ross
Keyword(s):  
Decision Making ◽  
Student Learning ◽  
Low Income ◽  
School Leaders ◽  
Data Driven ◽  
Data Driven Decision Making ◽  
Content Type ◽  
Use Of Data ◽  
Using Data ◽  
Rich Data

PurposeThis article informs school leaders and staffs about existing research findings on the use of data-driven decision-making in creating class rosters. Given that teachers are the most important school-based educational resource, decisions regarding the assignment of students to particular classes and teachers are highly impactful for student learning. Classroom compositions of peers can also influence student learning.Design/methodology/approachA literature review was conducted on the use of data-driven decision-making in the rostering process. The review addressed the merits of using various quantitative metrics in the rostering process.FindingsFindings revealed that, despite often being purposeful about rostering, school leaders and staffs have generally not engaged in data-driven decision-making in creating class rosters. Using data-driven rostering may have benefits, such as limiting the questionable practice of assigning the least effective teachers in the school to the youngest or lowest performing students. School leaders and staffs may also work to minimize negative peer effects due to concentrating low-achieving, low-income, or disruptive students in any one class. Any data-driven system used in rostering, however, would need to be adequately complex to account for multiple influences on student learning. Based on the research reviewed, quantitative data alone may not be sufficient for effective rostering decisions.Practical implicationsGiven the rich data available to school leaders and staffs, data-driven decision-making could inform rostering and contribute to more efficacious and equitable classroom assignments.Originality/valueThis article is the first to summarize relevant research across multiple bodies of literature on the opportunities for and challenges of using data-driven decision-making in creating class rosters.

The Impact of Using Data Warehouse on Manpower Employment Decision Support System

2011 ◽  
Vol 383-390 ◽  
pp. 4653-4659
Author(s):  
Amro F. Alasta ◽  
Muftah A. Enaba
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Data Warehouse ◽  
Support System ◽  
Employment Decision ◽  
Use Of Data ◽  
Using Data ◽  
The Impact

Since the use of computers in business world, data collection has become one of the most important issues due to the available knowledge in the data; such data has been stored in database. Database system was developed which led to the evolvement of hierarchical and relational database followed by Standard Query Language (SQL). As data size increases, the need for more control and information retrieval increase. These increases lead to the development of data mining systems and data warehouses. This paper focuses on the use of data warehouse as a supporting tool in decision making. We to study the effectiveness of data warehouse techniques in the sense of time and flexibility in our case study (Manpower Employment). The study will conclude with a comparison of traditional relational database and the use of data warehouse. The fundamental role of data warehouse is to provide data for supporting decision-making process. Data in data warehouse environment is multidimensional data store. We can simply say that data warehouse is a process not a product, for assembling and managing data from various sources for the purpose of gaining a single detailed view of part or all an establishment. The data warehouse concept has changed the nature of decision support system, by adding new benefits for improving and expanding the scope, accuracy, and accessibility of data. The warehouse is the link between the application and raw data, which is scattered in separate database but now is unified. The objectives of this work are to study the impact of using data warehouse on Manpower Employment Decision Support System, in the sense as far as the data quality concern. We will focus on the benefits gained from using data warehouse, and why it is more powerful than the use of traditional databases in decision making. The case study will be the Libyan national manpower employment agency. The data warehouse will collect database scattered from different sources in Libya in order to compare the performance and time.

Factors Influencing the Functioning of Data Teams

2015 ◽  
Vol 117 (4) ◽  
pp. 1-42 ◽  
Author(s):  
Kim Schildkamp ◽  
Cindy Poortman
Keyword(s):  
Professional Development ◽  
Decision Making ◽  
Data Use ◽  
Quality Data ◽  
Data Teams ◽  
Use Of Data ◽  
Data Team ◽  
Factors Influencing ◽  
Team Characteristics ◽  
Data Based Decision Making

Background Data-based decision making can lead to increased student achievement; however, schools struggle with the implementation of data-based decision making. Professional development in the use of data is therefore urgently needed. However, professional development is often ineffective in terms of improving the knowledge, skills, and attitude of the receiver. Purpose We need a more fundamental understanding of how we can increase the effectiveness of data-use-related professional development. This study therefore focuses on the factors influencing a professional development intervention for data-based decision making: the data team procedure. Data teams are teams of teachers and school leaders who collaboratively learn how to use data, following a structured approach and guided by a facilitator from the university. Based on an extensive literature review, we developed a data use framework in which the use of data is influenced by data characteristics, school organization characteristics, and user and team characteristics. Research Design We conducted case studies. Data Collection We focused on observing in depth the factors that influence the work of the data teams and interviewing the data team members about these factors. Four data teams of six schools for upper secondary education were followed over a period of 2 years. We observed and analyzed 34 meetings and analyzed 23 interviews, combined with our field notes. Although this pilot study only permits analytical generalization of the findings, the findings provide more in-depth insight into the factors that enable and hinder interventions, focusing on supporting collaborative data use in schools. Findings The results show that several data characteristics (access and availability of high-quality data), school organizational characteristics (a shared goal, leadership, training and support, involvement of relevant stakeholders), and individual and team characteristics (data literacy, pedagogical content knowledge [PCK], organizational knowledge, attitude, and collaboration) influence the use of data in data teams. The results also show that these influencing factors are interrelated. Conclusions Schools need support in all aspects of the use of data (from formulation of a problem definition to taking action based on the data). This study can form a starting point for larger studies into the factors influencing these types of professional development interventions to ensure effective implementation and sustainability.

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